I! CuDNN (v8201) function cudnnCreate() called: i! handle: location=host; addr=0x7ff953b668; i! Time: 2021-09-06T23:33:59.053596 (0d+0h+0m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:34:00.735809 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:34:00.735865 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:34:00.735898 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:34:00.735923 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=(nil) (defaultStream); i! streamId: type=cudaStream_t; streamId=0x55c6ef49c0; i! Time: 2021-09-06T23:34:00.735964 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=(nil) (defaultStream). I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! streamId: type=cudaStream_t; streamId=0x55c6ef49c0; i! Time: 2021-09-06T23:34:00.736356 (0d+0h+0m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.109993 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.110255 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.110443 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.110649 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.110700 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.110802 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.110841 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.110973 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.174433 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.174590 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.174659 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.174712 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.174779 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.174867 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.174935 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.175035 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.175130 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.175272 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.217617 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.217743 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.217781 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.217812 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.217896 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.217946 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.217998 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.218056 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.218110 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.218192 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.218303 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.218347 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.218377 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.218403 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.218432 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.218493 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.218528 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.218575 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.218609 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.218665 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.218758 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.218788 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.218843 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.218869 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.218913 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.218952 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.218984 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.219028 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.219062 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.219116 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.219208 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.219239 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.219266 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.219291 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.219320 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.219375 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.219413 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.219470 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.219506 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.219562 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.219871 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.219905 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.219930 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.219954 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.219983 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.220021 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.220052 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220095 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220129 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.220184 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.220271 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.220301 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.220325 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.220350 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.220377 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.220414 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.220453 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220496 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220546 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.220610 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.220683 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.220717 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.220744 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.220769 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.220798 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.220836 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.220868 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220918 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.220950 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.221007 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.221081 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.221108 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.221134 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.221157 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.221184 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.221221 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.221258 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.221302 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.221336 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.221390 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.221463 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.221496 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.221522 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.221546 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.221585 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.221624 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.221656 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.221698 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.221732 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.221787 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.221961 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222000 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.222028 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222052 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.222081 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.222118 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.222150 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.222192 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.222225 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.222281 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.222371 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222400 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.222425 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222469 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.222498 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.222559 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.222592 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.222655 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.222689 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.222744 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.222824 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222852 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.222876 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.222901 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.222929 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.222966 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.222997 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223057 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223092 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.223165 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.223248 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.223276 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.223302 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.223327 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.223354 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.223391 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.223423 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223466 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223509 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.223564 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.223655 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.223683 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.223731 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.223756 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.223798 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.223842 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.223883 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223928 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.223962 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.224017 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.224093 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.224122 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.224146 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.224171 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.224198 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.224262 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.224296 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.224370 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.224423 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.224479 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.224551 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.224579 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.224604 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.224655 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.224685 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.224723 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.224755 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.224799 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.224831 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.224916 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.224996 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225024 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.225048 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225073 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.225100 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.225137 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.225169 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.225213 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.225246 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.225300 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.225385 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225414 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.225443 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225467 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.225495 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.225532 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.225563 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.225608 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.225641 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.225708 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.225787 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225815 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.225889 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.225933 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.225963 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.226001 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.226033 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226077 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226111 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.226180 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.226254 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.226282 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.226307 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.226330 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.226359 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.226396 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.226444 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226504 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226544 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.226615 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.226687 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.226715 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.226745 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.226771 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.226798 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.226835 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.226872 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226922 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.226960 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.227037 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.227131 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.227175 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.227201 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.227227 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.227255 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.227298 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.227330 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.227376 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.227409 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.227464 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.227536 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.227563 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.227614 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.227641 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.227669 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.227723 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.227782 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.227836 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.227872 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.227927 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.228008 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228036 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.228061 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228086 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.228114 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.228151 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.228184 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.228249 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.228284 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.228355 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.228456 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228487 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.228512 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228537 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.228566 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.228604 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.228636 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.228681 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.228715 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.228771 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.228875 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228906 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.228946 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.228972 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.229014 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.229054 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.229086 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.229130 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.229163 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.229230 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.229307 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229335 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.229359 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229383 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.229411 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.229469 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.229507 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229557 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.229585 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229609 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.229653 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.229691 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.229742 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229766 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.229792 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.229815 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.229901 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.229941 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.229985 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230011 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.230035 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230069 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.230097 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.230135 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.230171 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230196 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.230220 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230271 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.230309 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.230362 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.230405 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230448 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.230475 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230499 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.230526 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.230567 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.230604 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230629 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.230654 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230678 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.230705 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.230740 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.230777 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230800 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.230825 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.230848 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.230876 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.230911 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.230977 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231003 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.231048 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231073 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.231118 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.231157 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.231194 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231218 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.231242 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231266 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.231293 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.231329 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.231373 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231398 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.231423 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231446 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.231474 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.231516 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.231554 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231579 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.231603 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231645 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.231672 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.231727 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.231765 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231812 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.231837 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231861 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.231889 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.231925 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.231961 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.231989 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232015 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232038 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.232066 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.232102 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.232137 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232162 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232185 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232217 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.232245 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.232281 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.232335 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232360 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232402 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232426 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.232471 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.232508 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.232544 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232568 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232592 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232616 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.232642 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.232687 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.232724 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232749 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232773 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232798 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.232824 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.232860 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.232896 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232919 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.232961 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.232986 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.233024 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.233083 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.233145 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233171 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.233195 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233219 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.233246 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.233283 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.233319 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233343 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.233367 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233391 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.233418 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.233455 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.233497 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233522 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.233547 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233571 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.233598 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.233652 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.233690 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233731 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.233756 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233781 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.233865 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.233908 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.233945 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.233975 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234000 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234023 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.234051 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.234103 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.234142 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234169 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234193 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234217 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.234245 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.234281 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.234316 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234341 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234384 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234421 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.234468 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.234505 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.234560 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234588 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234615 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234639 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.234667 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.234704 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.234740 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234764 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234789 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234812 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.234839 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.234880 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.234917 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234941 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.234965 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.234990 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.235016 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.235070 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.235157 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.235188 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.235260 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.235295 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.235357 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.235555 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.235588 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.235613 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.235636 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.235665 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.235702 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.235752 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.235779 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.235853 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.235888 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.235959 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.236519 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.236559 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.236587 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.236631 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.236662 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.236713 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.236747 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.236774 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.236822 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.236856 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.236912 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.236987 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.237014 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.237048 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.237073 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.237120 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.237159 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.237213 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.237242 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.237308 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.237343 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.237399 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.237478 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.237506 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.237530 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.237555 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.237583 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.237621 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.237653 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.237686 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.237734 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.237791 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.237910 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.238014 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.238044 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.238069 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.238093 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.238121 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.238159 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.238191 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.238218 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.238267 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.238312 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.238369 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.238579 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.238611 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.238655 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.238681 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.238709 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.238749 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.238786 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.238813 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.238860 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.238894 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.238950 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.239031 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.239059 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.239084 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.239107 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.239163 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.239207 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.239262 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.239289 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.239365 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.239400 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.239455 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.239541 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.239569 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.239594 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.239618 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.239646 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.239682 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.239715 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.239740 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.239787 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.239819 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.239889 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.240006 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240034 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.240059 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240083 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.240112 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.240148 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.240179 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.240205 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.240251 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.240283 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.240342 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.240424 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240450 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.240490 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240516 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.240543 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.240594 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.240626 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.240679 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.240729 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.240764 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.240819 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.240895 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240923 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.240947 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.240972 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.240999 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.241058 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.241091 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.241118 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.241178 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.241213 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.241283 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.241372 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.241416 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.241442 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.241466 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.241494 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.241531 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.241563 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.241589 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.241635 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.241669 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.241723 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.241819 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.241899 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.241926 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.241966 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.241995 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.242049 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.242082 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.242109 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.242156 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.242193 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.242250 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.242332 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.242359 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.242384 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.242408 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.242447 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.242486 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.242519 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.242565 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.242638 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.242672 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.242746 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.242822 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.242849 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.242874 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.242898 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.242925 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.242962 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.243011 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.243040 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.243087 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.243120 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.243175 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.243268 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.243329 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.243353 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.243399 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.243429 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.243465 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.243523 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.243549 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.243594 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.243626 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.243684 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.243762 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.243789 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.243813 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.243836 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.243862 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.243897 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.243926 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.243951 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244011 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244043 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.244110 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.244192 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.244220 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.244243 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.244266 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.244292 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.244327 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.244356 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.244380 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244426 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244469 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.244523 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.244596 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.244621 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.244662 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.244685 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.244712 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.244767 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.244815 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.244853 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244902 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.244934 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.244984 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.245048 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245076 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.245101 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245124 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.245155 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.245188 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.245215 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.245239 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.245285 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.245313 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.245378 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.245461 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245486 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.245525 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245548 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.245574 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.245615 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.245643 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.245668 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.245712 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.245742 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.245793 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.245907 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245934 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.245957 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.245979 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.246004 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.246038 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.246081 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.246105 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.246162 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.246193 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.246267 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.246331 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.246357 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.246380 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.246402 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.246427 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.246465 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.246494 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.246529 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.246575 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.246605 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.246685 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.246768 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.246794 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.246817 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.246857 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.246893 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.246948 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.246975 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.246997 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247042 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247072 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.247123 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.247179 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.247203 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.247235 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.247257 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.247283 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.247316 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.247342 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.247363 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247408 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247437 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.247500 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.247575 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.247623 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.247647 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.247668 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.247696 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.247729 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.247754 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.247779 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247830 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.247858 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.247911 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.247988 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248012 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.248034 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248056 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.248081 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.248114 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.248139 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f481ed00; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.248176 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.248222 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.248274 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:34:02.248342 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.248400 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248425 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.248446 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248468 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.248493 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.248526 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.248560 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.248589 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248610 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.248633 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248653 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.248678 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.248710 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.248739 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.248768 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248789 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.248811 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248831 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.248857 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.248904 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.248934 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.248976 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.248999 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.249020 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249056 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.249081 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.249117 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.249145 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.249172 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249195 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.249216 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249238 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.249263 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.249299 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.249325 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.249353 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249373 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.249396 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249416 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.249441 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.249473 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.249498 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.249525 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249546 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.249568 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249589 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.249637 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.249669 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.249710 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.249738 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249759 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.249800 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249823 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.249893 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.249926 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.249951 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.249978 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.249999 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250021 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250051 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.250077 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.250109 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.250133 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.250161 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250182 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250204 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250224 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.250249 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.250280 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.250304 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.250332 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250352 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250395 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250417 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.250442 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.250493 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.250522 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.250569 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250594 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250616 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250638 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.250663 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.250695 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.250720 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.250746 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250775 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250798 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250820 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.250849 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.250881 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.250906 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.250934 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250954 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.250976 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.250997 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.251021 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.251053 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.251077 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.251109 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251146 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.251169 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251189 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.251233 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.251267 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.251292 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.251336 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251358 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.251380 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251401 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.251425 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.251457 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.251494 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.251522 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251543 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.251565 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251586 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.251610 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.251642 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.251667 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.251695 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251715 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.251737 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251757 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.251783 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.251814 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.251845 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.251898 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251920 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.251942 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.251983 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252010 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.252043 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.252083 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.252111 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252133 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.252155 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252176 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252201 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.252238 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.252263 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.252290 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252310 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.252331 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252353 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252377 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.252409 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.252433 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.252461 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252481 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.252503 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252524 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252553 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.252585 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.252609 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.252653 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252675 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.252721 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252744 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252771 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.252821 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.252849 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.252877 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252898 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.252926 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.252958 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.252987 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.253021 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.253046 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.253074 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253094 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.253116 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253137 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.253162 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.253194 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.253226 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.253256 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253277 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.253310 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253332 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.253358 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.253390 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.253428 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.253457 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253478 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.253517 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253537 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.253563 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.253613 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.253638 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.253666 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253695 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:34:02.253717 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253739 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.253764 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:34:02.253795 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x55f481ed00; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:02.253820 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f481ed00; i! Time: 2021-09-06T23:34:02.253892 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.253913 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.254051 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254093 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.254120 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.254154 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.254179 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.254235 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.254259 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254298 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254324 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.254352 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.254413 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.254442 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.254508 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.254532 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254553 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254572 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.254596 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.254629 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.254664 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.254715 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.254741 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.255258 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255305 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.255334 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.255367 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.255392 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.255452 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.255478 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255513 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255535 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.255559 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.255609 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.255643 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.255686 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:02.255708 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255729 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255748 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.255772 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.255803 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.255827 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.255870 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:02.255892 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:02.258306 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:02.258389 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:02.258454 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:02.258496 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:02.258541 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:02.258574 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:02.258604 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:02.258756 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:02.258786 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.258818 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:02.258849 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:02.258930 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:02.259170 (0d+0h+0m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.770690 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:04.771067 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.771309 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.781758 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:04.789552 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:04.789655 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.789706 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.789749 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.789882 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:04.790219 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.919196 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:04.919367 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.919501 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.925374 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:04.930904 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:04.930993 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.931043 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:04.931089 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:04.931209 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:04.931499 (0d+0h+0m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.027734 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.027935 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.028124 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.034626 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.040654 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.040748 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.040810 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.040865 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.040993 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.041253 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.130382 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.130547 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.130656 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.136557 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.141669 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.141740 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.141809 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.141929 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.142019 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.142303 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.229209 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.229365 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.229464 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.235394 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.240492 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.240586 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.240641 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.240692 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.240792 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.241103 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.327321 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.327489 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.327588 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.333351 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.338716 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.338803 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.338856 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.338902 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.338987 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.339287 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.427906 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.428100 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.428214 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.435393 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.441344 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.441432 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.441487 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.441534 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.441627 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.441958 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.528340 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.528502 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.528604 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.534556 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.540038 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.540112 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.540162 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.540205 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.540290 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.540562 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.627221 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.627460 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.627608 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.633431 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.638683 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.638760 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.638812 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.638861 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.638994 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.639329 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.726001 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.726120 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.726206 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.732278 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.737608 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.737686 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.737738 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.737788 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.738014 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.738304 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.824495 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.824595 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.824680 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.830506 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.835713 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.835785 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.835837 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.835915 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.836010 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.836311 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.923241 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:05.923342 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.923431 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.929324 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:05.934579 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:05.934686 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.934742 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:05.934794 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:05.934927 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:05.935245 (0d+0h+0m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.024662 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.024817 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.024915 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.031606 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.036769 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.036895 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.036962 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.037035 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.037120 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.037344 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.123978 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.124093 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.124198 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.130158 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.135590 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.135674 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.135728 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.135774 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.135866 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.136193 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.222831 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.222939 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.223031 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.228937 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.234498 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x55f4a8d590; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.234582 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.234641 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.234694 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.234791 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.235153 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.321771 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.321987 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.322085 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:06.328003 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x55f4a8d590; i! Time: 2021-09-06T23:34:06.333614 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.333684 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:34:06.333771 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:06.336741 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.336863 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.336902 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.336947 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.337003 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.337065 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.337163 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.337199 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.337229 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.337259 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.337294 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.337340 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.337376 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.337440 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.337474 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.337503 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.337571 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.337608 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.337680 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.337735 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.337918 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.337977 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.338670 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.338731 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.338765 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.338805 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.338834 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.338920 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.338950 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.338974 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.338996 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.339024 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.339088 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.339134 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.339206 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:06.339233 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.339284 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.339309 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.339337 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.339373 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.339402 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.339454 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:06.339481 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:06.382195 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:06.382344 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:06.382385 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:06.382455 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:06.382486 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:06.382512 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:06.382548 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.382713 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.382750 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.382787 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.382821 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.382896 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.383298 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.440171 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.440361 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.440489 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.446509 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.451912 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.452003 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.452050 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.452093 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.452178 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.452565 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.507583 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.507781 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.507878 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.513518 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.518875 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.518966 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.519022 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.519072 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.519190 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.519552 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.574777 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.574946 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.575041 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.580787 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.586265 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.586353 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.586443 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.586492 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.586586 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.587002 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.642387 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.642516 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.642608 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.648303 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.653887 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.653968 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.654019 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.654064 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.654158 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.654543 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.709946 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.710113 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.710205 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.715862 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.721239 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.721329 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.721385 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.721436 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.721532 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.721976 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.776776 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.776935 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.777026 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.782847 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.788313 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.788410 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.788465 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.788513 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.788610 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.789007 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.844260 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.844438 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.844555 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.850244 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.855695 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.855781 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.855837 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.855884 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.855986 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.856434 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.911721 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.911881 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.911985 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.917527 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.922392 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.922468 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.922530 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.922608 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.922714 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.923025 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.978090 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:06.978250 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.978373 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.983975 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:06.989345 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:06.989445 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.989508 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:06.989560 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:06.989654 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:06.990077 (0d+0h+0m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.045421 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.045580 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.045691 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.051425 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.056805 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.056890 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.056959 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.057020 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.057141 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.057519 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.112923 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.113070 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.113167 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.118958 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.124389 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.124475 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.124538 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.124596 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.124698 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.125134 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.180428 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.180554 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.180703 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.186624 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.192043 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.192115 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.192174 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.192222 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.192308 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.192631 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.247724 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.247891 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.248041 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.253552 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.258877 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.258956 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.259018 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.259075 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.259193 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.259595 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.314967 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.315072 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.315198 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.320751 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.326178 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.326252 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.326329 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.326382 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.326475 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.326808 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.382380 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.382515 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.382620 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.388461 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.393709 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.393813 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.393936 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.394007 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.394105 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.394460 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.449454 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:07.449579 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.449738 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.455447 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.460691 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.460765 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:34:07.460817 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:07.464741 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.464824 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.464865 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.464908 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.464971 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.465010 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.465123 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.465158 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.465189 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.465246 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.465309 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.465388 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.465424 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.465493 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.465524 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.465549 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.465572 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.465603 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.465651 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.465681 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.465753 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.465782 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.466383 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.466464 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.466497 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.466541 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.466593 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.466676 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.466705 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.466728 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.466749 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.466788 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.466823 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.466850 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.466904 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:07.466929 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.466963 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.466984 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.467010 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.467042 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.467068 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.467122 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:07.467147 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:07.498072 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:07.498250 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:07.498323 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:07.498371 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:07.498405 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:07.498436 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:07.498505 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:07.498770 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:07.498823 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.498864 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:07.498942 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:07.499030 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:07.499263 (0d+0h+0m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:09.186171 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:09.186332 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:09.186409 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:09.190430 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:09.194448 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:09.194535 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:09.194584 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:09.194628 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:09.194703 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:09.194978 (0d+0h+0m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:10.864957 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:10.865093 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:10.865169 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:10.869486 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:10.874163 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:10.874249 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:10.874297 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:10.874351 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:10.874447 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:10.874686 (0d+0h+0m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:12.563867 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:12.564004 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:12.564093 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:12.568580 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:12.573081 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:12.573167 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:12.573218 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:12.573287 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:12.573388 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:12.573644 (0d+0h+0m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:14.303270 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:14.303410 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:14.303497 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:14.307998 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:14.312988 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:14.313112 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:14.313260 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:14.313325 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:14.313449 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:14.313735 (0d+0h+0m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:15.982377 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:15.982505 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:15.982635 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:15.987179 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:15.991792 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:15.991924 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:15.992010 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:15.992132 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:15.992259 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:15.992488 (0d+0h+0m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:17.624960 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:17.625088 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:17.625165 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:17.629656 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:17.634299 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:17.634388 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:17.634438 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:17.634511 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:17.634594 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:17.634818 (0d+0h+0m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:19.270828 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:19.270982 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:19.271061 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:19.275746 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:19.280029 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:19.280163 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:19.280304 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:19.280389 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:19.280502 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:19.280741 (0d+0h+0m+20s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:20.926590 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:20.926726 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:20.926802 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:20.931359 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:20.935731 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:20.935909 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:20.935992 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:20.936042 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:20.936144 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:20.936410 (0d+0h+0m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:22.579137 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:22.579270 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:22.579345 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:22.583948 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:22.588549 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:22.588625 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:22.588673 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:22.588714 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:22.588818 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:22.589082 (0d+0h+0m+23s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:24.256073 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:24.256231 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:24.256330 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:24.261050 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:24.265595 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:24.265717 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:24.265917 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:24.265986 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:24.266115 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:24.266407 (0d+0h+0m+25s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:25.953748 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:25.953928 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:25.954014 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:25.958311 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:25.962944 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:25.963058 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:25.963119 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:25.963171 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:25.963255 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:25.963511 (0d+0h+0m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:27.600221 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:27.600358 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:27.600437 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:27.605025 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:27.609452 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:27.609578 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:27.609702 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:27.609786 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:27.609951 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:27.610197 (0d+0h+0m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:29.256373 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:29.256512 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:29.256612 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:29.260766 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:29.265455 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:29.265565 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:29.265620 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:29.265665 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:29.265760 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:29.266036 (0d+0h+0m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:30.908181 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:30.908352 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:30.908442 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:30.912955 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:30.917188 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:30.917292 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:30.917351 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:30.917405 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:30.917538 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:30.917881 (0d+0h+0m+31s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:32.536934 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:32.537072 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:32.537147 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:32.541489 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:32.546154 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:32.546242 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:32.546312 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:32.546354 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:32.546431 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:32.546649 (0d+0h+0m+33s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.184974 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.185105 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:34.185184 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:34.189472 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.193952 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.194013 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:34:34.194074 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:34.198567 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.198693 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.198735 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.198774 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.198825 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.198860 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.198888 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.198973 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.199001 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.199026 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.199048 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.199075 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.199121 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.199182 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.199209 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.199271 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.199297 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.199350 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.199373 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.199421 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.199459 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.199485 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.199532 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.199589 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.199615 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.200139 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200211 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.200243 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.200280 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.200307 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.200330 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.200408 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.200439 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200482 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200506 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.200534 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.200589 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.200617 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.200640 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.200716 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:34.200742 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200764 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200784 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.200810 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.200843 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.200868 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.200892 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.200943 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:34.200974 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:34.203362 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:34.203432 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:34.203465 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:34.203499 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:34.203543 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:34.203570 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:34.203601 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.203766 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.203805 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.203828 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.203863 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.203897 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.203970 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.204246 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.292964 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.293120 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.293284 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.298482 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.303419 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.303520 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.303576 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.303628 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.303701 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.303818 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.304104 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.391638 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.391782 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.391880 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.397377 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.402641 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.402725 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.402779 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.402837 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.402944 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.403057 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.403397 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.491280 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.491383 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.491511 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.497017 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.502585 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.502738 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.502803 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.502872 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.502973 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.503115 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.503401 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.591574 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.591670 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.591805 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.597383 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.602753 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.602845 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.602945 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.603014 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.603114 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.603230 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.603524 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.692077 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.692182 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.692314 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.698075 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.703380 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.703490 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.703588 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.703660 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.703759 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.703881 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.704179 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.792637 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.792731 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.792884 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.798402 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.804025 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.804103 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.804187 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.804246 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.804300 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.804454 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.804734 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.893188 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.893310 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.893407 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.898776 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:34.904402 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:34.904476 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:34.904589 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.904650 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.904713 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.904845 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:34.905124 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:34.993362 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:34.993481 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.993578 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:34.998917 (0d+0h+0m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.004339 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.004445 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.004515 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.004629 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.004702 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.004820 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.005101 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.093515 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.093644 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.093742 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.099244 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.104940 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.105026 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.105080 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.105174 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.105232 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.105379 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.105686 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.194668 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.194755 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.194817 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.200128 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.205419 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.205564 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.205728 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.205803 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.205928 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.206051 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.206438 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.295108 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.295228 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.295331 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.300789 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.306357 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.306464 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.306516 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.306596 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.306670 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.306795 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.307043 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.394787 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.394874 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.394968 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.400696 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.406474 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.406631 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.406689 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.406784 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.406846 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.406973 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.407210 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.495521 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.495614 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.495709 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.501121 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.506841 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.506970 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.507032 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.507103 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.507217 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.507344 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.507654 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.595553 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.595647 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.595741 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.601199 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.606926 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.607001 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.607050 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.607137 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.607196 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.607338 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.607601 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.696563 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.696661 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.696778 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.702853 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.708488 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.708578 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.708637 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.708723 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.708797 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.708940 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.709230 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.798115 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.798226 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.798395 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x218c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x218c7a000; i! Time: 2021-09-06T23:34:35.804096 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.809819 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.810074 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:34:35.810123 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:35.813789 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.814040 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.814149 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.814226 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.814347 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.814393 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.814454 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.814546 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.814608 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.814636 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.814664 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.814696 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.814741 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.814777 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.814805 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.814890 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.814921 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.814947 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.814971 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.815005 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.815045 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.815076 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.815102 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.815176 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.815204 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.816086 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816127 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.816180 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.816223 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.816270 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.816297 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.816362 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.816389 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816416 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816439 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.816469 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.816509 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.816538 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.816564 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.816620 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:35.816647 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816696 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816721 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.816750 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.816812 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.816843 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.816869 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.816953 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:35.817011 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:35.820317 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:35.820395 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:35.820431 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:35.820467 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:35.820496 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:35.820522 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:35.820570 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.820759 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.820803 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.820834 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.820874 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.820913 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.821012 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.821404 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.879019 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.879201 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.879311 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.884912 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.889980 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.890083 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.890139 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.890199 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.890284 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.890387 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.890834 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.946496 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:35.946693 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.946837 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.952293 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:35.957477 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:35.957563 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:35.957614 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.957677 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:35.957736 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:35.957961 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:35.958407 (0d+0h+0m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.014373 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.014500 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.014642 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.020905 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.026245 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.026389 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.026453 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.026523 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.026622 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.026740 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.027194 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.082996 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.083152 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.083263 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.088644 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.093965 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.094054 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.094111 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.094180 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.094248 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.094409 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.094881 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.150648 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.150811 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.150919 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.156287 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.161443 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.161533 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.161590 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.161658 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.161722 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.161940 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.162385 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.217774 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.218004 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.218110 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.223462 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.228379 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.228460 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.228513 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.228574 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.228650 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.228787 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.229203 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.284626 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.284795 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.284904 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.290431 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.295547 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.295657 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.295729 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.295792 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.295851 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.295999 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.296409 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.351898 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.352055 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.352161 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.357389 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.362404 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.362495 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.362548 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.362609 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.362670 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.362810 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.363257 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.418600 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.418736 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.418835 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.424075 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.429082 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.429167 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.429223 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.429285 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.429348 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.429498 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.430055 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.485056 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.485228 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.485331 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.490717 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.495745 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.495824 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.495876 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.495936 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.496023 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.496167 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.496623 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.552121 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.552302 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.552453 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.557912 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.563637 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.563739 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.563896 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.563963 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.564023 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.564131 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.564581 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.621597 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.621743 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.621927 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.627823 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.633334 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.633445 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.633550 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.633624 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.633695 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.633929 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.634351 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.691110 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.691412 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.691624 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.697364 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.702881 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.702974 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.703036 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.703108 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.703173 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.703293 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.703777 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.761713 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.761900 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.762008 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.767470 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.773310 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.773407 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.773508 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.773599 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.773666 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.773897 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.774324 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.831658 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.831775 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.831923 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.837365 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.843036 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.843147 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.843245 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.843323 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.843422 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.843545 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=2; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=0; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.843962 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.901159 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:36.901286 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.901426 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.906855 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.912470 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.912595 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:34:36.912653 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:36.918641 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.918763 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.918810 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.918857 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.918917 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.918959 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.918994 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.919091 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.919149 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.919180 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.919208 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.919244 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.919289 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.919324 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.919353 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.919421 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.919451 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.919481 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.919508 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.919542 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.919585 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.919656 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.919686 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.919778 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.919811 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.920639 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.920692 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.920734 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.920780 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.920815 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.920846 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.920913 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.920967 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.920997 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.921025 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.921084 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.921172 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.921233 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.921266 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.921328 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:34:36.921360 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.921387 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.921416 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.921448 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.921490 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.921523 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.921553 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.921614 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:34:36.921657 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:34:36.925937 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:34:36.926062 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:34:36.926111 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:34:36.926188 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:34:36.926233 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:34:36.926275 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:34:36.926341 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:36.926542 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:36.926586 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:36.926616 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.926655 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:36.926692 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:36.926787 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:36.927011 (0d+0h+0m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:38.532542 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:38.532679 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:38.532752 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:38.537299 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:38.541994 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:38.542082 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:38.542127 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:38.542203 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:38.542250 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:38.542358 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:38.542620 (0d+0h+0m+39s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:40.157629 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:40.157780 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:40.157904 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:40.162210 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:40.166535 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:40.166634 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:40.166683 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:40.166759 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:40.166802 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:40.166880 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:40.167099 (0d+0h+0m+41s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:41.797420 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:41.797592 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:41.797687 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:41.802181 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:41.806548 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:41.806634 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:41.806675 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:41.806719 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:41.806789 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:41.806891 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:41.807143 (0d+0h+0m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:43.400249 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:43.400383 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:43.400463 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:43.404825 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:43.409174 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:43.409263 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:43.409302 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:43.409350 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:43.409393 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:43.409468 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:43.409698 (0d+0h+0m+44s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:45.003394 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:45.003541 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:45.003691 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:45.008157 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:45.012438 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:45.012561 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:45.012612 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:45.012687 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:45.012740 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:45.012868 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:45.013095 (0d+0h+0m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:46.640185 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:46.640321 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:46.640398 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:46.644598 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:46.649066 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:46.649183 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:46.649229 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:46.649297 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:46.649342 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:46.649421 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:46.649636 (0d+0h+0m+47s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:48.245715 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:48.245919 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:48.246027 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:48.250491 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:48.254753 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:48.254851 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:48.254900 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:48.254986 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:48.255036 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:48.255138 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:48.255376 (0d+0h+0m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:49.874326 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:49.874477 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:49.874558 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:49.878789 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:49.883208 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:49.883300 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:49.883344 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:49.883392 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:49.883436 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:49.883515 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:49.883762 (0d+0h+0m+50s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:51.463733 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:51.463866 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:51.463952 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:51.468430 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:51.472689 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:51.472850 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:51.472938 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:51.473053 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:51.473124 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:51.473255 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:51.473530 (0d+0h+0m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:53.085631 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:53.085773 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:53.085916 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:53.090260 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:53.094654 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:53.094739 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:53.094814 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:53.094863 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:53.094911 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:53.095016 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:53.095228 (0d+0h+0m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:54.658869 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:54.659026 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:54.659142 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:54.663593 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:54.667795 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:54.667946 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:54.668019 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:54.668119 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:54.668260 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:54.668368 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:54.668577 (0d+0h+0m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:56.222668 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:56.222794 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:56.222858 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:56.226948 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:56.231436 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:56.231567 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:56.231621 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:56.231706 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:56.231755 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:56.231861 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:56.232103 (0d+0h+0m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:57.797482 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:57.797642 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:57.797733 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:57.802097 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:57.806372 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:57.806487 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:57.806553 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:57.806674 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:57.806737 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:57.806842 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:57.807067 (0d+0h+0m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:59.354426 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:34:59.354565 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:59.354643 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:59.358582 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:34:59.362422 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:34:59.362506 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:34:59.362548 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:59.362595 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:34:59.362637 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:34:59.362711 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:34:59.362931 (0d+0h+1m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:00.891101 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:00.891237 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:35:00.891338 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:35:00.895265 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:00.899072 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:00.899156 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:00.899201 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:00.899247 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:00.899292 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x22cada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:35:00.899396 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:00.899603 (0d+0h+1m+1s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.387450 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:02.387577 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148e6000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:35:02.387679 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x228ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x228ada000; i! Time: 2021-09-06T23:35:02.391616 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.395496 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.395586 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:02.395630 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:02.400125 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.403008 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.403108 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.403163 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.403239 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.403278 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.403382 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.403422 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.403486 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.443218 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.443334 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.443404 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.443446 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.443490 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.443563 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.443613 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.443718 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.443757 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.443820 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.444712 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.444763 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.444791 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.444818 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.444848 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.444887 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.444919 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.444980 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.445014 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.445069 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.445188 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.445219 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.445246 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.445292 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.445321 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.445356 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.445407 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.445491 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.445526 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.445590 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.445674 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.445703 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.445739 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.445763 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.445791 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.445888 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.445923 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.445979 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.446019 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.446075 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.446168 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.446197 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.446221 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.446244 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.446290 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.446325 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.446381 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.446435 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.446466 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.446518 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.446686 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.446717 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.446741 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.446776 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.446804 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.446866 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.446896 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.446967 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.446999 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.447050 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.447174 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.447201 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.447225 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.447255 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.447282 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.447316 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.447343 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.447394 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.447424 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.447474 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.447551 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.447575 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.447599 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.447621 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.447646 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.447679 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.447707 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.447776 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.447807 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.447889 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.447985 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448011 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.448035 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448056 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.448083 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.448115 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.448143 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.448191 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.448221 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.448270 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.448352 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448380 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.448402 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448423 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.448450 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.448500 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.448529 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.448599 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.448636 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.448718 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.448792 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448819 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.448841 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.448874 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.448901 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.448934 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.448961 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449008 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449043 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.449093 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.449161 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.449187 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.449210 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.449249 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.449275 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.449307 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.449354 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449421 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449451 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.449500 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.449571 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.449596 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.449619 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.449640 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.449666 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.449711 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.449739 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449788 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.449817 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.449927 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.450016 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450042 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.450078 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450104 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.450150 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.450183 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.450228 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.450278 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.450309 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.450357 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.450437 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450463 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.450485 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450506 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.450532 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.450564 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.450591 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.450637 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.450667 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.450715 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.450808 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450836 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.450881 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.450904 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.450930 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.450982 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.451010 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451058 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451089 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.451137 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.451218 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.451244 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.451267 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.451289 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.451314 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.451346 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.451373 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451421 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451449 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.451501 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.451618 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.451647 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.451670 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.451712 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.451739 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.451773 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.451799 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451855 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.451885 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.451933 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.452022 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452046 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.452070 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452092 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.452119 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.452151 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.452186 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.452236 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.452266 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.452332 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.452432 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452458 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.452482 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452504 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.452543 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.452577 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.452604 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.452651 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.452682 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.452731 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.452800 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452830 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.452852 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.452874 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.452899 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.452932 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.452958 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453021 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453053 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.453124 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.453238 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.453266 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.453288 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.453311 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.453336 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.453370 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.453396 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453446 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453475 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.453524 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.453600 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.453625 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.453647 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.453669 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.453695 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.453727 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.453753 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453885 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.453920 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.453968 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.454071 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454097 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.454131 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454154 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.454179 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.454213 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.454240 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.454291 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.454325 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.454375 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.454444 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454468 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.454492 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454513 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.454539 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.454593 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.454628 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.454695 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.454726 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.454793 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.454866 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454891 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.454914 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.454935 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.454961 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.455002 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.455029 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.455077 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.455107 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.455155 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.455231 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455257 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.455296 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455331 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.455357 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.455404 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.455432 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.455498 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.455530 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.455579 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.455647 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455681 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.455705 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455727 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.455752 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.455785 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.455816 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455838 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.455860 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455881 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.455906 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.455938 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.455968 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.455990 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456017 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456062 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456089 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456122 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.456169 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456192 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456224 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456262 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456288 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456321 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.456352 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456374 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456397 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456418 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456448 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456481 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.456511 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456533 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456556 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456577 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456601 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456633 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.456663 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456685 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456707 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456729 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456753 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456794 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.456841 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456864 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.456887 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.456923 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.456951 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.456982 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.457027 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457049 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.457071 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457093 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.457118 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.457149 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.457184 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457206 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.457228 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457250 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.457279 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.457311 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.457341 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457362 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.457385 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457406 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.457432 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.457462 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.457495 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457528 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.457551 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457574 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.457615 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.457647 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.457707 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457731 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.457753 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.457774 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.457816 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.457963 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.458040 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458091 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.458149 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458225 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.458254 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.458288 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.458331 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458379 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.458437 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458461 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.458486 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.458519 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.458549 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458570 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.458593 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458614 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.458651 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.458684 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.458730 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458753 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.458774 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458795 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.458836 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.458867 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.458910 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458932 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.458953 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.458974 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.458998 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459034 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459062 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459082 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459104 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459126 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459156 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459188 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459216 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459238 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459259 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459280 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459304 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459335 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459380 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459403 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459425 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459446 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459470 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459516 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459545 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459565 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459602 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459624 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459650 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459679 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459721 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459747 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459769 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459790 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459814 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459844 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.459872 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459894 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.459914 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.459934 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.459959 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.459989 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.460017 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460037 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.460068 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460089 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.460113 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.460143 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.460171 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460193 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.460213 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460234 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.460258 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.460305 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.460333 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460367 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.460391 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460415 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.460450 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.460496 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.460525 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460550 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.460572 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460594 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.460619 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.460650 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.460678 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460700 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.460721 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.460742 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.460766 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.460800 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.460826 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.460847 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.460903 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.460932 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.460981 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.461278 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.461319 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.461342 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.461363 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.461389 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.461421 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.461446 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.461480 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.461533 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.461562 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.461609 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.462129 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.462165 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.462193 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.462216 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.462243 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.462275 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.462303 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.462326 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.462396 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.462424 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.462488 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.462591 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.462617 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.462640 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.462661 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.462685 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.462716 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.462741 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.462764 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.462813 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.462846 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.462895 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.462960 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.462986 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.463007 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.463029 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.463053 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.463084 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.463112 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.463153 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.463218 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.463248 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.463296 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.463375 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.463400 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.463422 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.463457 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.463482 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.463513 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.463538 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.463570 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.463622 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.463655 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.463704 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.463873 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.463902 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.463948 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.463969 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.463996 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.464044 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.464071 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.464092 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464143 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464172 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.464218 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.464291 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.464315 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.464338 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.464358 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.464383 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.464414 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.464439 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.464460 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464509 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464537 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.464588 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.464699 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.464724 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.464747 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.464784 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.464819 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.464855 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.464880 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.464918 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464971 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.464999 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.465047 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.465123 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.465147 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.465169 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.465190 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.465215 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.465253 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.465278 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.465300 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.465366 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.465395 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.465442 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.465541 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.465575 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.465597 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.465619 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.465643 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.465686 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.465712 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.465735 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.465784 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.465812 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.465907 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.465981 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466007 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.466028 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466050 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.466074 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.466105 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.466130 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.466166 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.466236 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.466268 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.466326 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.466406 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466430 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.466453 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466473 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.466498 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.466535 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.466561 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.466583 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.466638 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.466667 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.466724 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.466793 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466817 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.466839 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.466860 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.466885 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.466931 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.466962 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.466986 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467059 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467087 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.467134 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.467198 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.467222 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.467243 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.467269 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.467294 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.467325 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.467350 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.467372 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467420 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467449 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.467495 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.467575 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.467601 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.467623 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.467644 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.467668 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.467713 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.467738 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.467761 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467835 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.467864 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.467910 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.467986 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468011 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.468033 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468054 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.468079 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.468110 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.468134 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.468157 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.468207 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.468239 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.468287 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.468367 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468393 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.468429 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468450 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.468476 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.468527 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.468560 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.468581 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.468632 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.468661 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.468707 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.468772 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468796 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.468835 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.468857 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.468892 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.468922 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.468947 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.468969 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469021 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469048 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.469109 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.469195 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.469219 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.469256 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.469278 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.469302 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.469334 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.469363 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.469388 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469441 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469470 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.469517 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.469587 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.469612 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.469634 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.469655 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.469680 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.469711 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.469735 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.469757 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469823 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.469909 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.469975 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.470060 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470086 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.470108 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470129 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.470154 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.470185 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.470209 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.470243 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.470296 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.470324 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.470370 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.470435 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470459 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.470481 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470501 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.470526 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.470563 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.470607 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.470628 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.470698 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.470728 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.470796 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.470870 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470894 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.470931 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.470954 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.470980 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.471010 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.471034 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.471055 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471108 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471136 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.471181 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.471250 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.471274 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.471314 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.471335 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.471359 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.471390 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.471429 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.471452 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471518 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471546 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.471592 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.471688 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.471713 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.471734 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.471756 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.471780 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.471811 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.471836 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.471857 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471908 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.471944 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.472004 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.472084 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472110 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.472146 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472168 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.472192 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.472242 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.472273 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.472296 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.472348 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.472377 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.472423 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.472491 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472516 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.472538 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472562 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.472587 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.472618 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.472642 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.472663 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.472715 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.472743 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:35:02.472803 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.472900 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472924 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.472947 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.472967 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.472993 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473034 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.473061 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.473086 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473108 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.473129 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473150 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.473174 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473205 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.473235 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.473260 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473282 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.473302 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473323 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.473347 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473378 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.473402 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.473428 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473448 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.473470 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473490 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.473526 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473557 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.473585 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.473628 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473653 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.473677 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473698 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.473738 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473769 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.473794 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.473818 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473886 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.473909 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.473930 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.473954 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.473988 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474013 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474038 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474059 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.474084 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474106 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.474131 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.474161 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474185 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474211 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474231 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.474252 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474273 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.474306 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.474336 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474387 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474415 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474435 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.474474 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474495 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.474520 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.474565 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474591 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474616 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474637 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.474658 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474686 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.474711 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.474741 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474765 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474791 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474811 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.474832 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474853 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.474877 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.474907 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.474932 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.474958 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.474978 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475006 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475027 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.475052 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.475087 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.475113 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.475160 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475200 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475222 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475243 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.475288 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.475323 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.475347 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.475390 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475419 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475441 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475462 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.475487 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.475517 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.475542 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.475568 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475588 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475609 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475630 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.475654 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.475685 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.475708 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.475743 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475765 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475787 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475807 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.475832 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.475861 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.475885 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.475911 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475933 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.475953 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.475990 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476016 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.476047 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.476093 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.476119 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476141 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.476188 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476211 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476236 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.476267 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.476291 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.476318 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476338 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.476359 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476381 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476405 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.476434 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.476463 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.476495 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476517 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.476540 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476560 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476585 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.476615 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.476639 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.476665 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476686 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.476707 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476727 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476752 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.476806 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.476832 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.476858 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476893 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.476914 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.476936 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.476960 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477004 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477029 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.477055 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477075 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.477096 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477117 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.477141 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477180 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477205 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.477238 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477259 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.477281 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477301 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.477326 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477355 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477379 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.477404 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477425 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.477446 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477466 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.477495 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477526 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477550 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.477591 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477612 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.477633 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477671 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.477696 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477726 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477763 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.477790 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477810 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.477872 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.477899 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.477928 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.477959 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.477984 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.478011 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478031 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:35:02.478054 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478074 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.478099 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:35:02.478128 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x56167ae0c0; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:02.478152 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:35:02.478179 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478204 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.478333 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478361 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.478388 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.478419 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.478457 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:35:02.478530 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.478555 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478575 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478596 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.478633 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.478665 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.478689 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:35:02.478740 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.478775 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478796 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478817 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.478842 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.478872 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.478896 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.478950 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:35:02.478972 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.479775 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.479814 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.479843 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.479878 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.479903 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! Time: 2021-09-06T23:35:02.479964 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.479987 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.480009 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.480029 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.480054 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.480084 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.480109 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! Time: 2021-09-06T23:35:02.480157 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:02.480180 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.480200 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.480220 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.480245 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.480275 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.480304 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.480390 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! Time: 2021-09-06T23:35:02.480416 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:02.481945 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:02.482012 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:02.482073 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:02.482109 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:02.482134 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:02.482160 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:02.482189 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.482367 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.482402 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.482435 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.482483 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.482555 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:02.482799 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.597342 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:02.597474 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.597604 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.603458 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.608467 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.608549 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.608635 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.608692 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.608787 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:02.609136 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.723316 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:02.723469 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.723576 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.729139 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.733994 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.734100 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.734163 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.734217 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.734310 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:02.734640 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.848662 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:02.848794 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.848895 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.854515 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.859285 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.859365 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.859433 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.859493 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.859605 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:02.859962 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.974288 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:02.974452 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.974591 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.980533 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:02.985823 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:02.985961 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.986034 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:02.986110 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:02.986228 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:02.986595 (0d+0h+1m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.100818 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.100940 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.101047 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.106586 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.111374 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.111454 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.111514 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.111568 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.111661 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.112031 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.226190 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.226324 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.226457 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.232302 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.237472 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.237561 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.237631 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.237696 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.237876 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.238236 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.352264 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.352445 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.352556 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.358446 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.363676 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.363765 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.363838 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.363904 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.364033 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.364358 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.478253 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.478367 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.478465 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.484003 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.488961 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.489037 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.489098 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.489182 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.489282 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.489611 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.603715 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.603850 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.603948 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.609557 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.614483 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.614579 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.614650 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.614713 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.614819 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.615164 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.729287 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.729432 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.729541 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.735372 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.740733 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.740825 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.740927 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.741008 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.741150 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.741483 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.855840 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.855993 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.856112 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.861790 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.866867 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.866959 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.867036 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.867101 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.867220 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.867645 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.982092 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:03.982231 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.982342 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.988123 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:03.993449 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:03.993541 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.993648 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:03.993715 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:03.994002 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:03.994380 (0d+0h+1m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.108535 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.108677 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.108780 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.114407 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.119799 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.119896 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.120014 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.120090 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.120243 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.120613 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.234942 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.235059 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.235234 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.240984 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.246567 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.246662 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.246743 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.246813 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.246926 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.247276 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.361420 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.361576 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.361679 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.367303 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.372769 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.372857 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.372932 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.373015 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.373130 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.373447 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.487917 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.488074 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.488196 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.494205 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bd0b0; i! Time: 2021-09-06T23:35:04.499419 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.499506 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:04.499565 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:04.501967 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.502052 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.502096 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.502137 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.502191 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.502227 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.502356 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.502394 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.502451 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.502481 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.502516 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.502585 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.502621 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.502740 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.502774 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.502804 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.502830 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.502861 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.502909 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.502944 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.503011 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.503042 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.503816 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.503861 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.503898 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.503977 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.504016 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.504112 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.504144 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.504173 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.504199 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.504232 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.504271 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.504303 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.504357 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:04.504388 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.504413 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.504439 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.504471 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.504511 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.504563 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.504623 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:04.504653 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:04.506849 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:04.506928 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:04.506964 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:04.506997 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:04.507024 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:04.507050 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:04.507089 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.507247 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.507281 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.507316 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.507365 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.507435 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.507961 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.602876 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.603056 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.603165 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.608784 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.613935 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.614031 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.614091 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.614146 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.614242 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.614835 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.708389 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.708550 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.708656 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.714190 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.719209 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.719287 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.719379 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.719434 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.719573 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.720124 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.813521 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.813669 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.813770 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.819234 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.824103 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.824189 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.824255 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.824318 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.824430 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.825130 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.919143 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:04.919254 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.919406 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.924813 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:04.929907 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:04.929987 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.930099 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:04.930162 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:04.930292 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:04.930881 (0d+0h+1m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.024667 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.024833 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.024939 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.030470 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.035310 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.035389 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.035453 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.035510 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.035643 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.036297 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.130022 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.130165 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.130268 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.135794 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.140653 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.140751 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.140815 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.140873 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.140974 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.141609 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.234868 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.235013 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.235129 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.240654 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.245621 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.245706 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.245811 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.245950 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.246095 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.246677 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.340546 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.340661 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.340805 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.346478 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.351240 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.351327 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.351395 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.351488 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.351596 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.352228 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.446152 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.446300 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.446410 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.451941 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.456883 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.456965 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.457043 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.457104 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.457207 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.457901 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.551530 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.551691 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.551793 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.557322 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.562378 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.562469 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.562535 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.562594 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.562718 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.563349 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.657040 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.657147 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.657289 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.662887 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.667843 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.667924 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.668003 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.668063 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.668161 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.668735 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.762579 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.762731 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.762841 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.768335 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.773224 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.773305 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.773368 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.773464 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.773573 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.774202 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.867870 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.867984 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.868088 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.873489 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.878711 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.878805 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.878884 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.878990 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.879109 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.879823 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.974505 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:05.974613 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.974751 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.980100 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:05.985378 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:05.985469 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.985575 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:05.985648 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:05.985796 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:05.986508 (0d+0h+1m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.081274 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:06.081392 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:06.081514 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:06.086987 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.092156 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.092249 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.092330 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.092432 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=38504960; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:06.092548 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:06.093206 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.187766 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:06.187884 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:06.188027 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:06.193930 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.199135 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.199223 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:06.199322 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:06.202565 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.202706 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.202755 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.202804 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.202865 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.202914 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.203044 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.203083 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.203118 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.203150 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.203191 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.203239 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.203277 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.203353 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.203408 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.203441 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.203471 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.203544 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.203597 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.203636 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.203743 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.203783 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.204609 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.204661 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.204702 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.204752 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.204796 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.204874 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.204923 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.204954 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.204986 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.205023 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.205071 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.205133 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.205204 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:06.205238 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.205299 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.205332 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.205368 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.205441 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.205487 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.205573 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:06.205610 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:06.209305 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:06.209404 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:06.209443 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:06.209477 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:06.209535 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:06.209563 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:06.209621 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:06.209818 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:06.209909 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.209957 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:06.209995 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:06.210133 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:06.210412 (0d+0h+1m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:07.727743 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:07.727890 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:07.727969 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:07.732506 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:07.736569 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:07.736684 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:07.736766 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:07.736899 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:07.737001 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:07.737282 (0d+0h+1m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:09.277096 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:09.277228 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:09.277312 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:09.281382 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:09.285514 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:09.285635 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:09.285706 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:09.285758 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:09.285880 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:09.286126 (0d+0h+1m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:10.949870 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:10.950003 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:10.950107 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:10.954824 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:10.958883 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:10.959017 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:10.959097 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:10.959210 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:10.959313 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:10.959580 (0d+0h+1m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:12.546793 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:12.547095 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:12.547293 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:12.551551 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:12.555287 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:12.555359 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:12.555407 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:12.555448 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:12.555548 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:12.555865 (0d+0h+1m+13s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:14.136844 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:14.136987 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:14.137068 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:14.141761 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:14.146279 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:14.146358 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:14.146438 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:14.146482 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:14.146582 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:14.146893 (0d+0h+1m+15s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:15.710765 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:15.710913 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:15.710994 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:15.715552 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:15.719549 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:15.719661 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:15.719746 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:15.719819 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:15.719963 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:15.720288 (0d+0h+1m+16s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:17.280734 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:17.280898 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:17.280989 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:17.285608 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:17.289530 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:17.289613 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:17.289669 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:17.289714 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:17.289792 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:17.290112 (0d+0h+1m+18s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:18.817739 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:18.817922 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:18.818056 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:18.822614 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:18.826743 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:18.826890 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:18.826978 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:18.827060 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:18.827213 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:18.827507 (0d+0h+1m+19s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:20.341453 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:20.341608 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:20.341694 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:20.346099 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:20.350404 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:20.350484 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:20.350567 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:20.350614 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:20.350732 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:20.351018 (0d+0h+1m+21s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:21.921204 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:21.921367 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:21.921454 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:21.925590 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:21.929398 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:21.929478 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:21.929556 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:21.929628 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:21.929715 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:21.930052 (0d+0h+1m+22s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:23.542191 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:23.542352 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:23.542431 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:23.547235 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:23.552146 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:23.552270 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:23.552345 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:23.552406 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:23.552511 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:23.552831 (0d+0h+1m+24s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:25.159256 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:25.159399 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:25.159501 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:25.164120 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:25.167849 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:25.167927 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:25.167984 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:25.168029 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:25.168106 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:25.168360 (0d+0h+1m+26s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:27.088568 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:27.088708 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:27.088789 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:27.095818 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:27.102266 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:27.102360 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:27.102439 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:27.102488 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:27.102567 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:27.102903 (0d+0h+1m+28s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:29.174060 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:29.174247 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:29.174423 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:29.182283 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:29.188628 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:29.188773 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:29.188863 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:29.188978 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:29.189110 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:29.189613 (0d+0h+1m+30s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:31.252835 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:31.252992 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:31.253102 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:31.260860 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:31.267488 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:31.267573 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:31.267624 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:31.267733 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:31.267822 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:31.268115 (0d+0h+1m+32s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.396600 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:33.396731 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:33.396814 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:33.406214 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.414224 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.414356 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:33.414457 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:33.419460 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.419622 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.419697 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.419770 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.419854 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.419940 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.419981 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.420155 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.420197 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.420229 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.420257 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.420296 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.420343 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.420378 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.420407 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.420534 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.420569 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.420598 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.420659 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.420726 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.420770 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.420833 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.420864 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.420946 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.420975 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.421944 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.421990 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.422021 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.422059 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.422087 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.422133 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.422234 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.422260 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.422284 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.422305 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.422357 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.422392 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.422420 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.422445 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.422490 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:33.422514 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.422535 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.422565 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.422591 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.422623 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.422664 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.422688 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.422736 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:33.422761 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:33.424143 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:33.424195 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:33.424225 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:33.424256 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:33.424281 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:33.424306 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:33.424335 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.424481 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.424517 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.424553 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.424587 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.424620 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.424696 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:33.424979 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.670926 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:33.671116 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.671234 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.677961 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.683346 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.683433 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.683486 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.683541 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.683595 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.683709 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:33.684066 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.808417 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:33.808518 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.808659 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.814229 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.819046 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.819167 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.819222 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.819283 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.819341 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.819440 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:33.819784 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.933492 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:33.933629 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.933765 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.939250 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:33.944147 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:33.944221 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:33.944270 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.944325 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:33.944377 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:33.944472 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:33.944799 (0d+0h+1m+34s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.058407 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.058571 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.058674 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.064083 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.068618 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.068697 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.068766 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.068827 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.068906 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.069009 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.069325 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.182914 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.183054 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.183189 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.188586 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.193470 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.193565 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.193618 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.193704 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.193760 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.193929 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.194242 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.307991 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.308126 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.308268 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.313777 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.318652 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.318730 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.318780 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.318869 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.318923 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.319055 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.319410 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.432895 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.433029 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.433164 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.438795 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.443835 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.443925 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.443985 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.444087 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.444164 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.444314 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.444696 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.558538 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.558692 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.558841 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.564137 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.568901 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.568978 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.569029 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.569085 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.569140 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.569267 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.569578 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.683330 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.683467 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.683598 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.689124 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.694256 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.694345 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.694450 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.694534 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.694601 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.694751 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.695139 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.808855 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.808961 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.809102 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.814503 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.819295 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.819400 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.819458 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.819516 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.819570 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.819669 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.819988 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.933496 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:34.933630 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.933727 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.939084 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:34.943820 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:34.943908 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:34.943978 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.944041 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:34.944098 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:34.944194 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:34.944488 (0d+0h+1m+35s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.058060 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.058207 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.058351 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.063749 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.068152 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.068234 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.068287 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.068348 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.068406 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.068528 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.068862 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.182384 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.182485 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.182640 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.187975 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.192714 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.192794 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.192844 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.192902 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.192980 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.193083 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.193410 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.307065 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.307204 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.307309 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.312594 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.317332 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.317409 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.317473 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.317529 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.317584 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.317680 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.318052 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.431582 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.431685 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.431827 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.437144 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.441700 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.441781 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.441873 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.441939 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.441999 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.442103 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.442452 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.556152 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.556316 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.556459 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:35:35.561937 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.566903 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.566983 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:35.567054 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:35.569197 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.569275 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.569318 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.569361 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.569416 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.569454 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.569487 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.569599 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.569649 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.569678 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.569706 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.569739 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.569781 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.569813 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.569932 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.570016 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.570053 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.570080 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.570105 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.570133 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.570169 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.570236 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.570262 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.570352 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.570379 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.571097 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571136 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.571169 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.571206 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.571244 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.571269 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.571339 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.571365 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571389 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571411 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.571466 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.571500 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.571527 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.571572 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.571634 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:35.571658 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571709 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571731 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.571757 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.571812 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.571840 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.571864 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.571928 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:35.571970 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:35.574364 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:35.574428 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:35.574466 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:35.574499 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:35.574526 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:35.574551 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:35.574582 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.574732 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.574768 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.574794 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.574827 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.574859 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.574949 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.575506 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.601527 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.601674 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.601787 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.607313 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.612305 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.612431 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.612479 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.612557 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.612607 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.612690 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.613177 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.638168 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.638295 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.638431 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.643325 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.647758 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.647839 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.647887 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.647952 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.648007 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.648100 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.648666 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.670753 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.670881 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.671032 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.675976 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.680281 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.680365 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.680418 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.680477 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.680533 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.680632 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.681188 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.702547 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.702668 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.702753 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.707092 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.710992 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.711068 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.711118 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.711173 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.711290 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.711375 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.711800 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.732519 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.732621 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.732730 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.736900 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.740725 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.740807 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.740851 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.740896 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.740937 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.741013 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.741430 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.762053 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.762140 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.762247 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.766324 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.770007 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.770073 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.770115 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.770161 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.770202 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.770276 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.770703 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.791568 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.791672 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.791749 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.795778 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.799417 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.799483 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.799531 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.799604 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.799649 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.799747 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.800140 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.820597 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.820796 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.821016 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.826023 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.829871 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.829942 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.829987 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.830084 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.830134 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.830242 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.830650 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.853159 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.853275 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.853355 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.857600 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.861467 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.861536 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.861580 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.861623 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.861666 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.861741 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.862210 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.882936 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.883065 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.883148 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.887323 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.891001 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.891067 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.891108 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.891150 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.891193 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.891277 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.891700 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.912017 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.912101 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.912185 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.916140 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.919746 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.919808 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.919849 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.919918 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.919961 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.920080 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.920453 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.940777 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.940856 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.940946 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.945236 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.949759 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.949890 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.949972 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.950051 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.950097 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.950198 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.950585 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.972959 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:35.973183 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.973336 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.978402 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:35.983188 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:35.983280 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:35.983361 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.983486 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:35.983548 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:35.983676 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:35.984242 (0d+0h+1m+36s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.007932 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:36.008133 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.008324 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.013665 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.018550 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.018683 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.018842 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.018916 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.019012 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.019127 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:36.019689 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.045462 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:36.045645 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.045756 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.050776 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.055184 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.055264 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.055317 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.055374 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.055456 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=67330560; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.055571 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:36.056064 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.077794 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:36.077961 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.078049 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.082580 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.086635 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.086719 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:35:36.086765 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:36.089968 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.090049 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090088 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.090130 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.090178 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.090214 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.090256 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.090366 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.090396 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090423 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090446 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.090475 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.090511 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.090555 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.090581 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.090647 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.090675 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090698 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090720 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.090746 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.090780 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.090807 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.090852 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.090943 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.090971 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.091690 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.091752 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.091783 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.091819 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.091847 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.091872 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.091940 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.091970 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.091992 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.092016 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.092042 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.092075 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.092102 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.092124 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.092221 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:35:36.092248 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.092298 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.092321 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.092357 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.092412 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.092440 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.092463 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.092521 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:35:36.092546 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:35:36.095877 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:35:36.095959 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:35:36.096006 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:35:36.096046 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:35:36.096097 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:35:36.096129 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:35:36.096165 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:36.096423 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:36.096464 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:36.096491 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.096528 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:36.096578 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:36.096653 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:36.096934 (0d+0h+1m+37s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:37.724824 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:37.724951 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:37.725049 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:37.729223 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:37.732877 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:37.732952 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:37.732989 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:37.733030 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:37.733070 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:37.733143 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:37.733473 (0d+0h+1m+38s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:39.329445 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:39.329600 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:39.329684 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:39.334393 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:39.338373 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:39.338452 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:39.338495 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:39.338562 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:39.338622 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:39.338720 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:39.338980 (0d+0h+1m+40s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:41.019686 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:41.019831 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:41.019929 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:41.024731 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:41.029229 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:41.029359 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:41.029449 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:41.029502 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:41.029543 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:41.029649 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:41.029969 (0d+0h+1m+42s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:42.627466 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:42.627619 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:42.627712 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:42.632214 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:42.636421 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:42.636541 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:42.636612 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:42.636726 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:42.636791 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:42.636898 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:42.637192 (0d+0h+1m+43s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:44.178909 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:44.179099 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:44.179250 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:44.184316 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:44.189214 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:44.189360 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:44.189422 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:44.189493 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:44.189603 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:44.189757 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:44.190220 (0d+0h+1m+45s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:45.705099 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:45.705267 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:45.705356 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:45.709390 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:45.713132 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:45.713211 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:45.713259 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:45.713332 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:45.713383 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:45.713463 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:45.713756 (0d+0h+1m+46s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:47.212393 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:47.212548 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:47.212631 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:47.217006 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:47.220979 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:47.221072 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:47.221118 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:47.221175 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:47.221241 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:47.221345 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:47.221633 (0d+0h+1m+48s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:48.822474 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:48.822622 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:48.822740 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:48.827866 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:48.832339 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:48.832424 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:48.832518 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:48.832575 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:48.832626 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:48.832718 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:48.833001 (0d+0h+1m+49s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:50.337527 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:50.337665 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:50.337777 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:50.342032 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:50.346214 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:50.346307 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:50.346383 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:50.346441 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:50.346518 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:50.346608 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:50.346907 (0d+0h+1m+51s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:51.833363 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:51.833502 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:51.833612 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:51.837724 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:51.841422 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:51.841506 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:51.841552 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:51.841602 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:51.841648 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:51.841730 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:51.842090 (0d+0h+1m+52s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:53.386486 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:53.386618 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:53.386717 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:53.390711 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:53.394205 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:53.394278 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:53.394315 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:53.394356 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:53.394393 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:53.394465 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:53.394737 (0d+0h+1m+54s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:54.923398 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:54.923534 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:54.923651 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:54.928091 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:54.932142 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:54.932247 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:54.932293 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:54.932343 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:54.932415 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:54.932514 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:54.932768 (0d+0h+1m+55s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:56.460056 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:56.460193 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:56.460291 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:56.464653 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:56.468645 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:56.468727 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:56.468790 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:56.468842 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:56.468887 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:56.468968 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:56.469249 (0d+0h+1m+57s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:57.968964 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:57.969097 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:57.969205 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:57.973587 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:57.977652 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:57.977755 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:57.977796 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:57.977889 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:57.977933 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:57.978009 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:57.978259 (0d+0h+1m+58s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:59.548048 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:35:59.548192 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:59.548308 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:59.552546 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:35:59.556853 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:35:59.556938 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:35:59.557023 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:59.557103 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:35:59.557180 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=155713536; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:35:59.557321 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=4; i! knobDesc: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:35:59.557606 (0d+0h+2m+0s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! Time: 2021-09-06T23:36:01.096399 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.096535 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:01.096623 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,262144,4096,64,1]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:01.100957 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.104830 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.104888 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:01.104934 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:01.108448 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.113613 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.113689 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.113735 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.113793 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.113877 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.114051 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.114088 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.114153 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.114684 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.114724 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.114750 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.114777 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.114806 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.114846 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.114888 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.114987 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.115019 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.115103 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.115913 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.115954 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.115984 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.116010 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.116067 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.116128 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.116157 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.116244 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.116277 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.116351 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.116440 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.116484 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.116521 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.116543 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.116572 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.116605 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.116631 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.116688 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.116719 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.116770 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.116857 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.116885 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.116908 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.116930 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.116957 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.116990 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.117015 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.117089 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.117121 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.117191 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.117301 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.117329 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.117352 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.117374 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.117404 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.117443 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.117470 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.117526 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.117557 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.117605 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.117700 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.117728 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.117750 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.117773 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.117798 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.117871 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.117920 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.118014 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.118097 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.118203 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.118353 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.118430 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.118487 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.118527 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.118577 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.118615 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.118642 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.118700 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.118729 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.118776 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.118843 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.118867 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.118891 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.118911 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.118936 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.118966 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.119000 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.119048 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.119077 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.119124 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.120409 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.120458 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.120485 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.120508 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.120559 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.120596 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.120622 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.120686 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.120718 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.120767 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.120852 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.120890 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.120935 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.120960 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.120987 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.121020 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.121062 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121111 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121140 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.121189 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.121265 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.121293 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.121315 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.121337 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.121363 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.121394 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.121419 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121467 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121495 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.121542 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.121612 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.121657 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.121681 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.121711 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.121739 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.121793 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.121820 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121937 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.121968 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.122016 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.122098 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122124 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.122147 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122168 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.122193 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.122224 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.122248 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.122295 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.122339 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.122393 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.122459 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122483 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.122506 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122527 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.122552 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.122606 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.122635 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.122718 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.122749 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.122802 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.122889 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122917 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.122939 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.122960 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.122986 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.123022 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.123048 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123094 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123122 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.123170 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.123231 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.123256 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.123277 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.123310 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.123335 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.123366 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.123391 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123437 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123463 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.123529 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.123617 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.123642 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.123663 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.123700 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.123731 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.123767 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.123792 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123853 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.123881 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.123928 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.124004 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124029 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.124052 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124072 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.124097 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.124127 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.124151 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124197 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124225 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.124269 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.124332 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124355 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.124400 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124420 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.124446 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.124476 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.124517 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124563 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124610 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.124667 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.124730 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124755 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.124776 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.124797 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.124822 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.124864 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.124889 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124936 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.124968 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.125014 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.125073 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125097 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.125124 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125148 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.125172 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.125204 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.125232 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.125295 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.125324 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.125371 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.125453 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125496 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.125518 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125539 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.125564 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.125604 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.125629 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.125676 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.125703 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.125750 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.125810 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125861 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.125896 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.125929 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.125954 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.125985 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.126009 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126056 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126085 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.126129 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.126213 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.126237 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.126259 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.126298 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.126325 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.126355 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.126380 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126444 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126473 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.126523 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.126594 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.126620 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.126641 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.126661 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.126686 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.126716 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.126741 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126786 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.126813 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.126859 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.126927 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.126959 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.126982 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127003 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.127028 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.127080 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.127106 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.127151 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.127199 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.127257 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.127338 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127364 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.127385 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127406 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.127430 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.127461 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.127485 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.127535 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.127562 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.127608 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.127668 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127692 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.127719 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127741 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.127765 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.127796 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.127828 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127850 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.127873 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.127899 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.127945 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.127978 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128012 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128050 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128075 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128096 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128121 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128171 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128200 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128226 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128249 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128271 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128295 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128325 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128352 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128374 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128395 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128417 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128440 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128470 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128497 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128518 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128558 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128579 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128604 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128633 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128661 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128682 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128703 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128724 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128767 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128799 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.128827 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128867 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.128889 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.128910 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.128957 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.128989 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129016 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129037 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129070 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129091 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129115 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.129145 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129172 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129194 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129215 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129237 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129260 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.129300 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129332 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129353 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129376 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129397 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129422 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.129450 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129478 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129498 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129520 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129541 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129583 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.129614 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129646 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129686 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129709 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129731 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129754 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.129801 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.129877 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129901 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.129925 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.129946 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.129971 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.130000 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130027 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130057 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130079 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130107 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130132 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130163 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130191 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130212 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130233 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130253 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130278 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130308 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130335 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130355 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130385 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130406 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130449 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130479 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130507 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130545 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130567 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130589 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130612 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130657 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130685 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130705 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130733 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130756 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130785 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130817 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130845 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130865 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.130887 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.130908 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.130931 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.130961 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.130989 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131010 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131031 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131052 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131076 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131109 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131137 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131169 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131192 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131212 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131236 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131283 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131311 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131331 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131370 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131393 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131416 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131465 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131503 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131525 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131546 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131568 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131591 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131621 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131648 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131668 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131690 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131710 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131734 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131762 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131789 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131817 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131839 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131860 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.131883 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.131913 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.131940 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.131961 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.131982 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132002 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.132026 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.132070 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.132098 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132118 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.132169 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132197 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.132222 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.132271 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.132300 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132321 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.132343 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132364 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.132387 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.132418 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.132442 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.132464 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.132519 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.132552 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.132601 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.132846 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132878 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.132900 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.132935 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.132961 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.132992 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.133046 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.133069 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.133119 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.133165 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.133213 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.133597 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.133629 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.133652 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.133673 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.133730 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.133767 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.133794 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.133883 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.133941 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.133971 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.134019 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.134097 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134122 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.134144 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134164 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.134189 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.134219 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.134243 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.134265 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.134328 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.134357 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.134404 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.134475 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134499 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.134520 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134542 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.134566 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.134611 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.134636 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.134659 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.134721 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.134750 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.134823 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.134887 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134912 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.134933 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.134955 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.134979 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.135010 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.135034 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.135059 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135105 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135133 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.135185 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.135251 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.135275 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.135296 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.135317 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.135353 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.135390 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.135415 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.135436 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135497 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135526 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.135572 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.135648 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.135677 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.135717 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.135738 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.135763 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.135794 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.135818 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.135839 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135886 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.135914 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.135958 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.136033 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.136056 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.136079 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.136098 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.136123 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.136152 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.136177 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.136199 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.136245 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.136272 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.136318 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.136725 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.136759 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.136785 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.136805 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.136830 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.136862 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.136886 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.136908 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.136962 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.136990 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.137052 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.137120 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.137161 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.137183 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.137204 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.137229 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.137276 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.137305 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.137328 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.137375 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.137403 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.137460 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.137522 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.137547 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.137568 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.137600 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.137625 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.137656 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.137680 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.137703 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.137748 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.137777 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.137822 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.137935 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.137976 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.137999 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.138019 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.138051 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.138100 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.138125 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.138147 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.138212 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.138241 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.138287 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.138354 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.138378 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.138400 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.138421 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.138446 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.138475 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.138510 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.138532 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.138580 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.138611 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.138657 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.138718 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.138741 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.138764 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.138784 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.138809 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.138839 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.138882 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.138920 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.138987 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.139015 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.139062 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.139138 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.139162 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.139184 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.139205 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.139230 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.139265 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.139289 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.139311 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.139358 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.139386 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.139439 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.139504 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.139552 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.139575 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.139597 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.139622 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.139652 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.139676 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.139699 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.139746 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.139774 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.139839 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.139923 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.139949 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.139970 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.140006 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.140031 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.140062 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.140086 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.140107 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140155 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140183 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.140239 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.140301 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.140324 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.140347 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.140367 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.140392 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.140423 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.140448 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.140469 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140522 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140552 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.140609 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.140694 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.140718 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.140742 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.140762 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.140810 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.140845 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.140879 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.140920 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140972 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.140999 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.141046 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.141111 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.141135 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.141157 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.141183 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.141208 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.141239 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.141264 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.141287 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.141335 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.141363 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.141409 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.141480 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.141505 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.141527 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.141548 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.141572 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.141623 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.141678 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.141703 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.141766 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.141796 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.141877 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.141964 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.141990 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.142012 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.142033 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.142057 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.142088 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.142113 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.142134 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.142183 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.142229 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.142279 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.142373 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.142399 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.142420 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.142440 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.142465 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.142496 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.142528 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.142550 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.142598 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.142626 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_GEMM (2); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.142690 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.142778 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.142802 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.142825 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.142846 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.142899 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.142932 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.142957 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.142978 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143026 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143053 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_DIRECT (3); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.143099 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.143168 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.143192 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.143215 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.143235 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.143258 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.143289 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.143313 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.143335 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143382 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143410 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT (4); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.143456 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.143537 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.143563 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.143601 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.143626 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.143656 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.143689 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.143729 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.143760 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143809 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.143854 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_FFT_TILING (5); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.143906 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.143972 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.143996 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.144017 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144038 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.144063 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.144096 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.144120 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561a8bda10; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.144155 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.144204 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.144232 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnGetConvolutionForwardWorkspaceSize() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_WINOGRAD (6); i! sizeInBytes: location=host; addr=0x7ff95389c0; i! Time: 2021-09-06T23:36:01.144278 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.144340 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144365 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.144389 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144409 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.144434 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.144469 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.144495 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.144537 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144560 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.144583 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144604 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.144647 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.144694 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.144719 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.144765 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144786 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.144818 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144841 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.144865 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.144900 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.144925 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.144952 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.144973 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.144996 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145017 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.145050 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.145081 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.145106 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.145133 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145155 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.145177 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145198 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.145227 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.145258 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.145282 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.145308 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145329 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.145352 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145373 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.145397 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.145428 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.145452 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.145496 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145516 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.145549 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145586 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.145611 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.145642 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.145667 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.145712 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145733 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.145757 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145778 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.145803 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.145880 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.145910 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.145936 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.145965 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.145987 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146009 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146033 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146063 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.146088 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.146112 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146133 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.146155 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146177 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146201 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146230 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.146255 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.146284 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146305 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.146328 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146348 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146372 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146421 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.146450 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.146481 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146502 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.146541 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146563 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146588 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146617 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.146661 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.146686 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146708 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.146729 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146751 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146775 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146805 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.146829 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.146853 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146875 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.146908 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.146931 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.146955 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.146984 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147018 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147046 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147066 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.147089 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147109 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.147133 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.147163 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147187 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147213 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147233 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.147256 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147276 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.147316 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.147347 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147376 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147417 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147439 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.147461 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147483 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.147528 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.147559 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147584 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147609 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147630 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.147652 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147673 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.147697 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.147734 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147759 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147785 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147805 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.147832 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147855 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.147880 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.147911 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.147938 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.147966 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.147987 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148009 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148029 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.148059 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.148089 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.148114 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.148139 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148160 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148182 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148239 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.148267 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.148298 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.148323 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.148364 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148386 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148408 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148457 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.148484 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.148517 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.148542 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.148568 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148588 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148612 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148632 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.148656 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.148686 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.148710 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.148736 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148756 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148782 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148803 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.148828 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.148857 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.148882 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.148906 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148928 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.148949 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.148971 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.149006 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.149038 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.149062 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.149088 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149112 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.149135 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149156 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.149194 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.149230 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.149258 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.149286 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149321 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.149345 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149366 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.149390 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.149436 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.149460 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.149493 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149514 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff95394f0; i! Time: 2021-09-06T23:36:01.149537 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149557 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.149582 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! Time: 2021-09-06T23:36:01.149612 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561a8bda10; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:01.149637 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561a8bda10; i! Time: 2021-09-06T23:36:01.149661 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149683 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.149801 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.149865 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.149893 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.149924 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.149958 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:36:01.150023 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.150051 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.150071 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.150092 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.150116 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.150147 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.150171 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:36:01.150217 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.150261 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.150283 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.150302 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.150326 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.150373 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561783e1c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.150403 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.150469 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561783e1c0; i! Time: 2021-09-06T23:36:01.150494 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.151271 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151311 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.151341 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.151372 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.151397 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:36:01.151453 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.151478 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151498 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151518 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.151559 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.151601 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.151626 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:36:01.151688 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:01.151713 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151733 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151754 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.151779 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.151826 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.151850 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.151900 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:36:01.151924 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:01.153347 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:01.153398 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:01.153425 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:01.153462 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:01.153487 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:01.153510 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:01.153537 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.153702 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.153734 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.153772 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.153803 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.153939 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.154295 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.305512 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.305633 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.305799 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.311354 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.316255 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.316337 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.316408 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.316467 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.316575 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.316922 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.452379 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.452484 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.452651 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.458154 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.463238 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.463332 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.463427 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.463536 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.463695 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.464054 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.599669 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.599815 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.599921 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.605387 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.610381 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.610517 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.610602 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.610723 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.610884 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.611271 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.746627 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.746778 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.746880 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.752303 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.757399 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.757566 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.757653 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.757743 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.757984 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.758387 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.894099 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:01.894246 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.894350 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.899752 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:01.904630 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:01.904758 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.904840 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:01.904913 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:01.905088 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:01.905474 (0d+0h+2m+2s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.041187 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.041313 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.041472 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.046845 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.052082 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.052212 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.052302 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.052375 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.052525 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.052917 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.187945 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.188051 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.188191 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.193512 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.198700 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.198787 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.198939 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.199054 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.199177 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.199550 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.334073 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.334182 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.334324 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.339681 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.344570 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.344708 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.344794 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.344864 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.345026 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.345426 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.479738 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.479845 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.480008 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.485399 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.490429 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.490561 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.490644 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.490715 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.490893 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.491267 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.625105 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.625275 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.625378 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.630943 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.635931 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.636062 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.636146 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.636216 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.636388 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.636767 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.770768 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.770912 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.771060 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.776367 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.781404 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.781531 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.781738 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.781820 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.782010 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.782337 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.916330 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:02.916434 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.916583 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.922112 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:02.927142 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:02.927289 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.927377 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:02.927452 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:02.927608 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:02.928009 (0d+0h+2m+3s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.061877 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.061989 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.062135 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.067587 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.072648 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.072739 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.072868 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.072941 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.073096 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.073483 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.207602 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.207720 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.207856 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.213153 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.218256 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.218358 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.218443 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.218535 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.218697 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.219093 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.352778 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.352929 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.353035 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.358513 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.363487 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x56167ae0c0; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.363578 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.363659 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.363732 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.363892 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.364303 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.497799 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.497946 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.498099 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:03.503417 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x56167ae0c0; i! Time: 2021-09-06T23:36:03.508419 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.508503 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:03.508560 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:03.510979 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.511063 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.511113 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.511194 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.511257 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.511315 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.511470 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.511512 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.511545 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.511579 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.511618 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.511666 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.511702 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.511798 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.511833 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.511865 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.511895 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.511931 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.511977 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.512023 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.512118 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.512153 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.512986 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.513060 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.513102 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.513150 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.513193 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.513301 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.513338 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.513369 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.513398 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.513436 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.513506 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.513543 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.513624 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:03.513659 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.513687 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.513718 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.513752 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.513797 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.514023 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.514113 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:03.514143 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:03.516670 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:03.516737 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:03.516785 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:03.516819 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:03.516845 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:03.516871 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:03.516902 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.517062 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.517097 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.517134 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.517166 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.517235 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.517811 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.620050 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.620234 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.620436 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.625949 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.630898 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.630991 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.631074 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.631144 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.631320 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.632081 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.733790 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.734009 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.734122 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.739452 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.744427 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.744555 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.744651 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.744745 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.744903 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.745619 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.849315 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.849474 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.849584 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.854922 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.859962 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.860093 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.860177 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.860248 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.860410 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.861135 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.964611 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:03.964777 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.964890 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.970335 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:03.975886 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:03.975990 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.976093 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:03.976153 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:03.976252 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:03.976852 (0d+0h+2m+4s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.079234 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.079400 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.079510 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.085026 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.090024 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.090156 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.090244 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.090319 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.090477 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.091207 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.193614 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.193775 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.193986 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.199394 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.204283 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.204416 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.204497 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.204569 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.204727 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.205446 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.309417 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.309612 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.309725 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.315045 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.320163 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.320257 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.320344 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.320468 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.320595 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.321287 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.424882 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.425011 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.425125 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.430659 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.435531 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.435642 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.435759 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.435834 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.435958 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.436713 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.539516 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.539670 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.539778 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.545466 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.550405 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.550540 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.550640 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.550717 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.550878 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.551549 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.654434 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.654553 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.654705 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.659942 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.664858 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.664950 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.665074 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.665153 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.665306 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.666072 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.770763 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.770890 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.771016 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.776130 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.780991 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.781124 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.781204 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.781275 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.781422 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.782130 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.882942 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.883131 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.883243 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.888334 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:04.892835 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:04.892915 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.892982 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.893045 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.893205 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:04.893772 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:04.994110 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:04.994267 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.994377 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:04.999459 (0d+0h+2m+5s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.003997 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.004082 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.004173 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.004243 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.004392 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.004998 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.105446 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.105567 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.105672 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.110728 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.115300 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.115395 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.115466 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.115524 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.115668 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.116231 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.216772 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.216902 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.217046 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.222453 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.227746 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.227849 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.227967 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.228044 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72059392; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.228206 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.228932 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.331921 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.332041 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.332185 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.337343 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.342441 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.342538 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:05.342600 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:05.347011 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.347138 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.347191 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.347248 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.347311 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.347392 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.347573 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.347617 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.347656 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.347692 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.347736 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.347797 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.347840 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.347951 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.347991 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.348024 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.348058 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.348098 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.348148 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.348200 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.348306 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.348346 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.353294 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.353373 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.353424 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.353480 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.353520 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.353646 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.353681 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.353712 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.353739 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.353769 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.353808 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.353905 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.354001 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:05.354029 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.354054 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.354077 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.354105 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.354138 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.354165 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.354259 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:05.354289 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:05.356641 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:05.356704 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:05.356744 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:05.356788 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:05.356849 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:05.356887 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:05.356919 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.357165 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.357203 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.357242 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.357276 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.357350 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.358056 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.461221 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.461395 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.461519 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.466903 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.471978 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.472111 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.472195 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.472270 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.472433 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.473204 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.578444 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.578642 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.578794 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.583934 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.588723 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.588813 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.588893 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.588995 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.589156 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.590052 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.696375 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.696494 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.696643 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.701789 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.706736 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.706885 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.706970 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.707063 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.707225 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.707931 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.815236 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.815366 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.815510 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.820646 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.826019 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.826136 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.826272 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.826347 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.826529 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.827148 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.934184 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:05.934312 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.934459 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.939620 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:05.944810 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:05.944911 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.945028 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:05.945109 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:05.945239 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:05.946069 (0d+0h+2m+6s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.052709 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.052854 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.053006 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.058414 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.063379 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.063494 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.063626 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.063718 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.063886 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.064622 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.170829 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.170990 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.171145 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.176234 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.181129 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.181228 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.181312 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.181387 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.181586 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.182527 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.286748 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.286936 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.287094 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.292196 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.297065 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.297160 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.297265 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.297339 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.297509 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.298218 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.405484 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.405668 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.405786 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.411003 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.415999 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.416095 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.416217 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.416292 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.416466 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.417145 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.523742 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.523923 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.524084 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.529205 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.534102 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.534206 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.534330 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.534410 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.534534 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.535269 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.640955 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.641147 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.641272 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.646419 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.650863 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.650948 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.651019 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.651087 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.651187 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.651783 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.755010 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.755176 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.755307 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.760093 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.764913 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.765003 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.765145 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.765259 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.765372 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.766217 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.873502 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.873642 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.873762 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.878886 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:06.883714 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:06.883810 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.883928 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.884019 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.884184 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:06.884888 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:06.991699 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:06.991867 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.992023 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:06.996926 (0d+0h+2m+7s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.001172 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.001278 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.001354 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.001419 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.001521 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.002136 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.108104 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.108241 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.108357 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.113142 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.118049 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.118240 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.118327 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.118392 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x224ada000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x228ada000; i! workSpaceSizeInBytes: type=size_t; val=72280576; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.118536 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_DEFAULT_MATH (0); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=42; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_EDGE: type=int; val=-1; i! CUDNN_KNOB_TYPE_KBLOCK: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGA: type=int; val=-1; i! CUDNN_KNOB_TYPE_LDGB: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_REDUCED_PRECISION_REDUCTION: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.119177 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.225026 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.225155 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.225307 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x226ada000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x226ada000; i! Time: 2021-09-06T23:36:07.230125 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.234307 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.234385 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:07.234462 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:07.237527 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.237611 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.237662 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.237711 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.237773 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.237817 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.237963 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.238106 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.238138 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.238163 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.238190 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.238227 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.238266 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.238304 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.238330 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.238420 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.238446 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.238471 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.238515 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.238545 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.238580 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.238620 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.238667 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.238756 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.238782 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.239543 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.239596 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.239627 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.239666 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.239693 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.239717 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.239802 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.239827 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.239862 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.239884 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.239911 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.239944 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.239971 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.239994 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.240062 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:07.240093 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.240144 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.240169 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.240196 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.240228 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.240275 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.240311 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.240383 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:07.240418 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:07.241883 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:07.241946 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:07.241982 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:07.242021 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:07.242047 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:07.242073 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:07.242103 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.242316 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.242351 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.242376 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.242410 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.242480 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.242590 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.243120 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.377263 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.377416 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.377574 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.383368 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.388424 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.388537 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.388602 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.388718 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.388790 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.388955 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.389372 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.523427 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.523531 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.523671 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.529078 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.534298 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.534391 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.534483 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.534575 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.534644 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.534798 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.535215 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.669191 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.669296 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.669435 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.674895 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.679893 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.680002 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.680078 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.680195 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.680266 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.680417 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.680833 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.815181 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.815292 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.815465 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.820924 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.825865 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.825999 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.826066 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.826139 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.826239 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.826382 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.826766 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.960524 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:07.960628 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.960775 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.966055 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:07.970830 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:07.970958 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:07.971024 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.971169 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:07.971240 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:07.971355 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:07.971774 (0d+0h+2m+8s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.105711 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.105819 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.106033 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.111234 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.116040 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.116187 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.116276 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.116388 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.116456 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.116575 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.116984 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.250563 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.250671 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.250811 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.256064 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.261000 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.261092 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.261171 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.261278 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.261345 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.261463 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.261966 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.395358 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.395465 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.395612 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.400969 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.405976 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.406073 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.406170 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.406248 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.406315 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.406465 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.406886 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.540028 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.540168 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.540335 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.545565 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.550511 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.550605 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.550674 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.550786 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.550856 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.551037 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.551431 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.684615 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.684717 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.684855 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.690140 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.695016 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.695110 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.695191 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.695301 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.695371 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.695520 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.695896 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.829173 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.829281 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.829420 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.834788 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.839563 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.839694 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.839758 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.839865 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.839938 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.840057 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.840478 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.973995 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:08.974094 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.974245 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.979624 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:08.984431 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:08.984569 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:08.984636 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.984742 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:08.984815 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:08.984932 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:08.985355 (0d+0h+2m+9s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.118778 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.118886 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.119023 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.124288 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.129504 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.129642 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.129711 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.129781 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.130059 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.130238 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.130888 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.264506 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.264626 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.264778 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.270146 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.274982 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.275075 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.275155 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.275263 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.275353 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.275510 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.275892 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.409517 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.409716 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.409925 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.415591 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.420625 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.420750 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.420816 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.420894 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.420999 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_GEMM (0); i! workSpace: location=dev; addr=NULL_PTR; i! workSpaceSizeInBytes: type=size_t; val=0; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.421123 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=28; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=-1; i! CUDNN_KNOB_TYPE_USE_TEX: type=int; val=-1; i! numericalNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.421506 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.554987 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.555178 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.555339 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.560572 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.565653 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.565761 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:09.565819 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:09.568186 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.568318 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.568396 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.568462 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.568543 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.568598 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.568644 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.568836 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.568888 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.568933 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.568973 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.569059 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.569128 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.569179 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.569220 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.569354 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.569399 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.569440 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.569478 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.569528 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.569589 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.569636 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.569679 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.569822 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.570083 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.571092 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.571141 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.571211 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.571265 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.571304 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.571339 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.571450 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.571486 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.571516 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.571547 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.571584 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.571631 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.571689 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.571724 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.571817 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:09.571853 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.571883 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.571913 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.571949 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.571995 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.572048 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.572082 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.572172 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:09.572207 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:09.573821 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:09.573938 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:09.573992 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:09.574031 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:09.574059 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:09.574120 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:09.574158 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.574326 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.574367 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.574408 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.574455 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.574506 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.574649 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.575117 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.591711 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.591898 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.592011 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.597558 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.602794 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.602877 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.603009 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.603099 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.603195 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.603303 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.603861 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.620495 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.620603 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.620748 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.626273 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.631199 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.631319 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.631430 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.631509 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.631573 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.631744 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.632330 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.650072 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.650172 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.650311 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.655532 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.660305 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.660395 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.660454 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.660526 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.660593 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.660745 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.661365 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.678567 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.678820 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.678983 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.684296 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.689338 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.689470 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.689536 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.689610 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.689680 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.689994 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.690520 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.706683 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.706794 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.706944 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.712047 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.716633 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.716730 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.716807 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.716873 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.716966 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.717078 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.717598 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.734874 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.735020 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.735126 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.740302 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.745060 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.745146 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.745206 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.745270 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.745332 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.745475 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.746087 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.763502 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.763612 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.763731 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.768842 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.772938 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.773012 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.773061 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.773113 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.773162 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.773281 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.773785 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.790578 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.790693 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.790819 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.795921 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.800775 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.800868 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.800933 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.801007 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.801108 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.801251 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.801999 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.819535 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.819635 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.819797 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.825311 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.830495 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.830644 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.830706 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.830825 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.830889 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.830992 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.831534 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.847996 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.848145 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.848282 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.853357 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.858350 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.858441 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.858501 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.858575 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.858680 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.858801 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.859352 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.876712 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.876869 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.876975 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.882538 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.887012 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.887101 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.887163 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.887237 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.887302 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.887429 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.888102 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.904164 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.904337 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.904474 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.909613 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.914059 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.914138 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.914204 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.914309 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.914390 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.914497 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.915021 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.931042 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.931166 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.931322 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.936678 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.941578 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.941682 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.941739 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.941798 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.941935 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.942039 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.942525 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.960100 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.960210 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.960354 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.965751 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.970794 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.970886 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.970944 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.971014 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.971072 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.971176 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.971652 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.988135 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:09.988260 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.988428 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.994111 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:09.999001 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:09.999099 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:09.999159 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.999229 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:09.999293 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=221696; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:09.999402 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:09.999913 (0d+0h+2m+10s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.017929 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.018045 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.018187 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.023758 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.029010 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.029089 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:10.029143 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:10.031097 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.031178 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.031248 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.031295 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.031351 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.031389 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.031423 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.031567 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.031602 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.031630 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.031659 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.031693 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.031737 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.031771 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.031846 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.031937 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.031969 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.032001 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.032064 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.032098 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.032141 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.032174 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.032229 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.032317 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.032348 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.036632 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.036720 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.036787 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.036872 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.036967 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.037003 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.037135 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.037196 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.037229 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.037257 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.037292 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.037331 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.037363 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.037391 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.037463 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9538e40; i! Time: 2021-09-06T23:36:10.037492 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.037530 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.037556 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.037586 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.037626 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.037656 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.037684 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.037752 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.037781 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.039250 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetFilterNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! nbDims: type=int; val=5; i! filterDimA: type=int; val=[64,64,3,3,3]; i! Time: 2021-09-06T23:36:10.039308 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateActivationDescriptor() called: i! Time: 2021-09-06T23:36:10.039341 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetActivationDescriptor() called: i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! coef: type=double; val=inf; i! Time: 2021-09-06T23:36:10.039393 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:10.039421 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetOpTensorDescriptor() called: i! opTensorOp: type=cudnnOpTensorOp_t; val=CUDNN_OP_TENSOR_MUL (1); i! opTensorCompType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! opTensorNanOpt: type=cudnnNanPropagation_t; val=CUDNN_NOT_PROPAGATE_NAN (0); i! Time: 2021-09-06T23:36:10.039446 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateConvolutionDescriptor() called: i! convDesc: location=host; addr=0x7ff9539320; i! Time: 2021-09-06T23:36:10.039501 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.039673 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.039711 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.039736 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.039773 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.039803 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.039874 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.040332 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.053674 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.053794 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.053974 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.059510 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.064616 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.064718 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.064815 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.064897 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.064966 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.065122 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.065712 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.080174 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.080326 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.080429 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.085806 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.090761 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.090906 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.090968 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.091057 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.091143 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.091266 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.091800 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.106107 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.106243 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.106344 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.111976 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.116940 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.117035 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.117091 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.117161 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.117251 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.117358 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.117900 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.131487 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.131584 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.131677 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.136954 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.141985 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.142070 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.142125 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.142188 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.142277 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.142381 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.142858 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.156604 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.156699 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.156792 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.162234 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.167408 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.167501 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.167602 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.167681 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.167751 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.167903 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.168492 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.182508 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.182639 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.182740 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.188113 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.192755 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.192836 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.192891 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.192974 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.193075 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.193185 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.193672 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.206996 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.207085 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.207178 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.212327 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.217033 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.217129 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.217177 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.217233 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.217314 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.217404 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.217923 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.231189 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.231294 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.231387 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.236735 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.241583 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.241722 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.241784 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.242011 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.242138 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.242320 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.242802 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.256576 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.256672 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.256801 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.262163 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.267130 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.267219 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.267317 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.267393 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.267458 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.267620 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.268198 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.282536 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.282646 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.282786 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.288011 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.292821 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.292901 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.292970 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.293034 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.293091 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.293193 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.293634 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.307240 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.307335 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.307429 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.312795 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.317868 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.317962 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.318026 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.318098 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.318201 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.318323 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.318900 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.333076 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.333173 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.333270 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.338525 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.343387 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.343517 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.343583 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.343656 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.343722 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.343874 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.344461 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.358920 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.359016 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.359148 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.364604 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.369562 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.369656 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.369718 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.369791 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.369935 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.370091 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.370639 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.384908 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.385059 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.385173 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.390643 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.395967 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.396092 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.396189 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.396265 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.396334 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.396483 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.397054 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.411490 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.411592 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.411687 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.416947 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetConvolutionNdDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! Time: 2021-09-06T23:36:10.421645 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionMathType() called: i! convDesc: location=host; addr=0x561b3c0060; i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! Time: 2021-09-06T23:36:10.421730 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetConvolutionGroupCount() called: i! convDesc: location=host; addr=0x561b3c0060; i! groupCount: type=int; val=1; i! Time: 2021-09-06T23:36:10.421782 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.421909 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.422008 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnConvolutionForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! xData: location=dev; addr=0x214c7a000; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! wData: location=dev; addr=0x21487a000; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! algo: type=cudnnConvolutionFwdAlgo_t; val=CUDNN_CONVOLUTION_FWD_ALGO_IMPLICIT_PRECOMP_GEMM (1); i! workSpace: location=dev; addr=0x218c7a000; i! workSpaceSizeInBytes: type=size_t; val=512; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! yData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.422121 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnBackendExecuteInternal() called: i! enable_tf32: type=bool; val=false; i! operation: type=internalType; val=CONV_FORWARD; i! xDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! wDesc: type=cudnnFilterDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! vect: type=int; val=0; i! nbDims: type=int; val=5; i! dimA: type=int; val=[64,64,3,3,3]; i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NHWC (1); i! yDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! convDesc: type=cudnnConvolutionDescriptor_t: i! mode: type=cudnnConvolutionMode_t; val=CUDNN_CROSS_CORRELATION (1); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_FLOAT (0); i! mathType: type=cudnnMathType_t; val=CUDNN_TENSOR_OP_MATH (1); i! reorderType: type=int; val=0; i! arrayLength: type=int; val=3; i! padA: type=int; val=[1,1,1]; i! strideA: type=int; val=[1,1,1]; i! dilationA: type=int; val=[1,1,1]; i! groupCount: type=int; val=1; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! engine_id: type=int; val=16; i! knobDesc: type=cudnnBackendDescriptor_t: i! CUDNN_KNOB_TYPE_TILE_SIZE: type=int; val=4; i! CUDNN_KNOB_TYPE_TILEK: type=int; val=0; i! CUDNN_KNOB_TYPE_STAGES: type=int; val=0; i! CUDNN_KNOB_TYPE_IDX_MODE: type=int; val=1; i! CUDNN_KNOB_TYPE_SPECFILT: type=int; val=0; i! numericalNotes: type=cudnnBackendDescriptor_t: i! CUDNN_NUMERICAL_NOTE_TENSOR_CORE: type=bool; val=true; i! behaviorNotes: type=cudnnBackendDescriptor_t; val=NULL_PTR; i! Time: 2021-09-06T23:36:10.422635 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnSetTensorNdDescriptor() called: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! Time: 2021-09-06T23:36:10.436440 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetTensorNdDescriptorEx() called: i! format: type=cudnnTensorFormat_t; val=CUDNN_TENSOR_NCHW (0); i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! Time: 2021-09-06T23:36:10.436538 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnAddTensor() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! biasDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,1,1,1]; i! strideA: type=int; val=[64,1,1,1,1]; i! biasData: location=dev; addr=0x2148b0000; i! beta: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDestDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcDestData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.436635 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnActivationForward() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! activationDesc: type=cudnnActivationDescriptor_t: i! coef: type=double; val=inf; i! mode: type=cudnnActivationMode_t; val=CUDNN_ACTIVATION_RELU (1); i! reluNanOpt: type=cudnnNanPropagation_t; val=CUDNN_PROPAGATE_NAN (1); i! alpha: type=CUDNN_DATA_FLOAT; val=1.000000; i! srcDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! srcData: location=dev; addr=0x216c7a000; i! beta: type=CUDNN_DATA_FLOAT; val=0.000000; i! destDesc: type=cudnnTensorDescriptor_t: i! dataType: type=cudnnDataType_t; val=CUDNN_DATA_HALF (2); i! nbDims: type=int; val=5; i! dimA: type=int; val=[1,64,64,64,64]; i! strideA: type=int; val=[16777216,1,262144,4096,64]; i! destData: location=dev; addr=0x216c7a000; i! Time: 2021-09-06T23:36:10.441993 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnDestroyConvolutionDescriptor() called: i! convDesc: location=host; addr=0x561b3c0060; i! Time: 2021-09-06T23:36:10.447030 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyFilterDescriptor() called: i! Time: 2021-09-06T23:36:10.447112 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyActivationDescriptor() called: i! Time: 2021-09-06T23:36:10.447172 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyOpTensorDescriptor() called: i! Time: 2021-09-06T23:36:10.449434 (0d+0h+2m+11s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x55c6ef49c0; i! streamId: type=cudaStream_t; streamId=0x55c6ef49c0; i! Time: 2021-09-06T23:36:21.399642 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=0; Handle=0x55ac94de20; StreamId=0x55c6ef49c0. I! CuDNN (v8201) function cudnnCreate() called: i! handle: location=host; addr=0x7ff953a008; i! Time: 2021-09-06T23:36:21.419578 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.425812 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.425935 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.425995 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.426031 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.426224 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.426278 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.426303 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.426324 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroy() called: i! Time: 2021-09-06T23:36:21.426385 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.436720 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.436768 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.436802 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.436826 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroy() called: i! Time: 2021-09-06T23:36:21.436862 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreate() called: i! handle: location=host; addr=0x7ff953c5b8; i! Time: 2021-09-06T23:36:21.468378 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473220 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473286 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473320 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473350 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473424 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473452 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473477 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.473500 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroy() called: i! Time: 2021-09-06T23:36:21.473538 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreate() called: i! handle: location=host; addr=0x561cafe660; i! Time: 2021-09-06T23:36:21.498635 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.503287 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.503372 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.503405 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnCreateTensorDescriptor() called: i! Time: 2021-09-06T23:36:21.503434 (0d+0h+2m+22s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=(nil) (defaultStream); i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.685932 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=(nil) (defaultStream). I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.707994 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.732876 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.758143 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.784107 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.810014 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.835262 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.860423 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.885529 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.910717 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.935690 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.960480 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:21.985762 (0d+0h+2m+22s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.010849 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.035935 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.060360 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.085524 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.110563 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.135499 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.160306 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.185196 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.210068 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.235197 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.259723 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.284304 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.309185 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.333939 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.358789 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.383860 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.409009 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.434094 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.458714 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.483429 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.508591 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.533349 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.558015 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.582811 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.607634 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.632252 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.656948 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.681620 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.706124 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.730666 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.755142 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.779693 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.804193 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.828513 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.852978 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.877392 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.902062 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.927140 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.952059 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:22.976655 (0d+0h+2m+23s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.001179 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.026116 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.050741 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.075431 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.100080 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.124950 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.149704 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.174371 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.198944 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.223473 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.248833 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.273515 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.298801 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.323620 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.348135 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.372534 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.396943 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.421644 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.446419 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.471056 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.495437 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.520019 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.544346 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.569041 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.593535 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.618223 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.642964 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.667461 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.691973 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.716566 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.741218 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.765720 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.790173 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.814932 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.839523 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.864212 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.888740 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.913406 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.938133 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.962875 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:23.987698 (0d+0h+2m+24s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.012461 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.037116 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.062095 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.086863 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.111784 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.136332 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.160972 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.185707 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.210572 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.235862 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.260725 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.285488 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.310315 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.335120 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.359968 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.384558 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.409571 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.434617 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.459827 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.484681 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.509418 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.534572 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.559529 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.584919 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.610227 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.635938 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.661065 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.686396 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.711525 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.736505 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.761558 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.786931 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.812173 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.836879 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.862018 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.886738 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnSetStream() called: i! handle: type=cudnnHandle_t; streamId=0x7f1c000ff0; i! streamId: type=cudaStream_t; streamId=0x7f1c000ff0; i! Time: 2021-09-06T23:36:24.911718 (0d+0h+2m+25s since start) i! Process=12660; Thread=12677; GPU=0; Handle=0x55ac94de20; StreamId=0x7f1c000ff0. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:24.950584 (0d+0h+2m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:24.950708 (0d+0h+2m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:24.950771 (0d+0h+2m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroyTensorDescriptor() called: i! Time: 2021-09-06T23:36:24.950805 (0d+0h+2m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL. I! CuDNN (v8201) function cudnnDestroy() called: i! Time: 2021-09-06T23:36:24.950914 (0d+0h+2m+25s since start) i! Process=12660; Thread=12660; GPU=NULL; Handle=NULL; StreamId=NULL.