&&&& RUNNING TensorRT.trtexec [TensorRT v8401] # /usr/src/tensorrt/bin/trtexec --onnx=c3dv2.3.k4.onnx --saveEngine=c3d_1dla.engine --useDLACore=0 --allowGPUFallback --verbose
[11/23/2022-20:24:41] [I] === Model Options ===
[11/23/2022-20:24:41] [I] Format: ONNX
[11/23/2022-20:24:41] [I] Model: c3dv2.3.k4.onnx
[11/23/2022-20:24:41] [I] Output:
[11/23/2022-20:24:41] [I] === Build Options ===
[11/23/2022-20:24:41] [I] Max batch: explicit batch
[11/23/2022-20:24:41] [I] Memory Pools: workspace: default, dlaSRAM: default, dlaLocalDRAM: default, dlaGlobalDRAM: default
[11/23/2022-20:24:41] [I] minTiming: 1
[11/23/2022-20:24:41] [I] avgTiming: 8
[11/23/2022-20:24:41] [I] Precision: FP32
[11/23/2022-20:24:41] [I] LayerPrecisions: 
[11/23/2022-20:24:41] [I] Calibration: 
[11/23/2022-20:24:41] [I] Refit: Disabled
[11/23/2022-20:24:41] [I] Sparsity: Disabled
[11/23/2022-20:24:41] [I] Safe mode: Disabled
[11/23/2022-20:24:41] [I] DirectIO mode: Disabled
[11/23/2022-20:24:41] [I] Restricted mode: Disabled
[11/23/2022-20:24:41] [I] Build only: Disabled
[11/23/2022-20:24:41] [I] Save engine: c3d_1dla.engine
[11/23/2022-20:24:41] [I] Load engine: 
[11/23/2022-20:24:41] [I] Profiling verbosity: 0
[11/23/2022-20:24:41] [I] Tactic sources: Using default tactic sources
[11/23/2022-20:24:41] [I] timingCacheMode: local
[11/23/2022-20:24:41] [I] timingCacheFile: 
[11/23/2022-20:24:41] [I] Input(s)s format: fp32:CHW
[11/23/2022-20:24:41] [I] Output(s)s format: fp32:CHW
[11/23/2022-20:24:41] [I] Input build shapes: model
[11/23/2022-20:24:41] [I] Input calibration shapes: model
[11/23/2022-20:24:41] [I] === System Options ===
[11/23/2022-20:24:41] [I] Device: 0
[11/23/2022-20:24:41] [I] DLACore: 0(With GPU fallback)
[11/23/2022-20:24:41] [I] Plugins:
[11/23/2022-20:24:41] [I] === Inference Options ===
[11/23/2022-20:24:41] [I] Batch: Explicit
[11/23/2022-20:24:41] [I] Input inference shapes: model
[11/23/2022-20:24:41] [I] Iterations: 10
[11/23/2022-20:24:41] [I] Duration: 3s (+ 200ms warm up)
[11/23/2022-20:24:41] [I] Sleep time: 0ms
[11/23/2022-20:24:41] [I] Idle time: 0ms
[11/23/2022-20:24:41] [I] Streams: 1
[11/23/2022-20:24:41] [I] ExposeDMA: Disabled
[11/23/2022-20:24:41] [I] Data transfers: Enabled
[11/23/2022-20:24:41] [I] Spin-wait: Disabled
[11/23/2022-20:24:41] [I] Multithreading: Disabled
[11/23/2022-20:24:41] [I] CUDA Graph: Disabled
[11/23/2022-20:24:41] [I] Separate profiling: Disabled
[11/23/2022-20:24:41] [I] Time Deserialize: Disabled
[11/23/2022-20:24:41] [I] Time Refit: Disabled
[11/23/2022-20:24:41] [I] Inputs:
[11/23/2022-20:24:41] [I] === Reporting Options ===
[11/23/2022-20:24:41] [I] Verbose: Enabled
[11/23/2022-20:24:41] [I] Averages: 10 inferences
[11/23/2022-20:24:41] [I] Percentile: 99
[11/23/2022-20:24:41] [I] Dump refittable layers:Disabled
[11/23/2022-20:24:41] [I] Dump output: Disabled
[11/23/2022-20:24:41] [I] Profile: Disabled
[11/23/2022-20:24:41] [I] Export timing to JSON file: 
[11/23/2022-20:24:41] [I] Export output to JSON file: 
[11/23/2022-20:24:41] [I] Export profile to JSON file: 
[11/23/2022-20:24:41] [I] 
[11/23/2022-20:24:41] [I] === Device Information ===
[11/23/2022-20:24:41] [I] Selected Device: Orin
[11/23/2022-20:24:41] [I] Compute Capability: 8.7
[11/23/2022-20:24:41] [I] SMs: 16
[11/23/2022-20:24:41] [I] Compute Clock Rate: 1.3 GHz
[11/23/2022-20:24:41] [I] Device Global Memory: 30535 MiB
[11/23/2022-20:24:41] [I] Shared Memory per SM: 164 KiB
[11/23/2022-20:24:41] [I] Memory Bus Width: 128 bits (ECC disabled)
[11/23/2022-20:24:41] [I] Memory Clock Rate: 1.3 GHz
[11/23/2022-20:24:41] [I] 
[11/23/2022-20:24:41] [I] TensorRT version: 8.4.1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::GridAnchor_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::GridAnchorRect_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::NMS_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Reorg_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Region_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Clip_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::LReLU_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::PriorBox_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Normalize_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::ScatterND version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::RPROI_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::BatchedNMS_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::BatchedNMSDynamic_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::BatchTilePlugin_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::FlattenConcat_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::CropAndResize version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::CropAndResizeDynamic version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::DetectionLayer_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::EfficientNMS_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::EfficientNMS_ONNX_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::EfficientNMS_Explicit_TF_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::EfficientNMS_Implicit_TF_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::ProposalDynamic version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Proposal version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::ProposalLayer_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::PyramidROIAlign_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::ResizeNearest_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::Split version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::SpecialSlice_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 2
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::CoordConvAC version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::DecodeBbox3DPlugin version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::GenerateDetection_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::MultilevelCropAndResize_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::MultilevelProposeROI_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::NMSDynamic_TRT version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::PillarScatterPlugin version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::VoxelGeneratorPlugin version 1
[11/23/2022-20:24:41] [V] [TRT] Registered plugin creator - ::MultiscaleDeformableAttnPlugin_TRT version 1
[11/23/2022-20:24:41] [I] [TRT] [MemUsageChange] Init CUDA: CPU +218, GPU +0, now: CPU 242, GPU 7360 (MiB)
[11/23/2022-20:24:44] [I] [TRT] [MemUsageChange] Init builder kernel library: CPU +351, GPU +462, now: CPU 612, GPU 7839 (MiB)
[11/23/2022-20:24:44] [I] Start parsing network model
[11/23/2022-20:24:44] [I] [TRT] ----------------------------------------------------------------
[11/23/2022-20:24:44] [I] [TRT] Input filename:   c3dv2.3.k4.onnx
[11/23/2022-20:24:44] [I] [TRT] ONNX IR version:  0.0.4
[11/23/2022-20:24:44] [I] [TRT] Opset version:    10
[11/23/2022-20:24:44] [I] [TRT] Producer name:    pytorch
[11/23/2022-20:24:44] [I] [TRT] Producer version: 1.3
[11/23/2022-20:24:44] [I] [TRT] Domain:           
[11/23/2022-20:24:44] [I] [TRT] Model version:    0
[11/23/2022-20:24:44] [I] [TRT] Doc string:       
[11/23/2022-20:24:44] [I] [TRT] ----------------------------------------------------------------
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::GridAnchor_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::GridAnchorRect_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::NMS_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Reorg_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Region_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Clip_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::LReLU_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::PriorBox_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Normalize_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::ScatterND version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::RPROI_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::BatchedNMS_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::BatchedNMSDynamic_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::BatchTilePlugin_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::FlattenConcat_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::CropAndResize version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::CropAndResizeDynamic version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::DetectionLayer_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::EfficientNMS_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::EfficientNMS_ONNX_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::EfficientNMS_Explicit_TF_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::EfficientNMS_Implicit_TF_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::ProposalDynamic version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Proposal version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::ProposalLayer_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::PyramidROIAlign_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::ResizeNearest_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::Split version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::SpecialSlice_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 2
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::CoordConvAC version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::DecodeBbox3DPlugin version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::GenerateDetection_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::MultilevelCropAndResize_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::MultilevelProposeROI_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::NMSDynamic_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::PillarScatterPlugin version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::VoxelGeneratorPlugin version 1
[11/23/2022-20:24:44] [V] [TRT] Plugin creator already registered - ::MultiscaleDeformableAttnPlugin_TRT version 1
[11/23/2022-20:24:44] [V] [TRT] Adding network input: i with dtype: float32, dimensions: (1, 3, 352, 672)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: i for ONNX tensor: i
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: a
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: amodel_offset.0.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: amodel_offset.0.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: amodel_offset.2.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: amodel_offset.2.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.0.1.num_batches_tracked
[11/23/2022-20:24:44] [W] [TRT] onnx2trt_utils.cpp:367: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.0.1.running_var
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.1.conv.2.running_mean
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.1.conv.2.running_var
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: backbone.features.12.conv.0.0.weight
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.dla_up.ida_2.proj_3.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.dla_up.ida_2.proj_3.conv.1.running_var
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_1.conv.1.running_var
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_2.conv.1.num_batches_tracked
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.proj_2.conv.1.weight
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.up_2.0.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: neck.ida_up.up_2.1.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: reg.0.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: reg.0.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: reg.2.bias
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: reg_stixel.0.bias
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: rot.0.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: rot.0.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: rot.2.bias
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: scene.0.bias
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[11/23/2022-20:24:44] [V] [TRT] Importing initializer: scene.2.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: scene.2.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: wh.0.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: wh.0.weight
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: wh.2.bias
[11/23/2022-20:24:44] [V] [TRT] Importing initializer: wh.2.weight
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_509 [Cast]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: m
[11/23/2022-20:24:44] [V] [TRT] node_of_509 [Cast] inputs: [m -> (1, 2, 352, 672)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: m for ONNX node: m
[11/23/2022-20:24:44] [V] [TRT] Casting to type: float32
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_509 for ONNX node: node_of_509
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 509 for ONNX tensor: 509
[11/23/2022-20:24:44] [V] [TRT] node_of_509 [Cast] outputs: [509 -> (1, 2, 352, 672)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_510 [Concat]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: i
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 509
[11/23/2022-20:24:44] [V] [TRT] node_of_510 [Concat] inputs: [i -> (1, 3, 352, 672)[FLOAT]], [509 -> (1, 2, 352, 672)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_510 for ONNX node: node_of_510
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 510 for ONNX tensor: 510
[11/23/2022-20:24:44] [V] [TRT] node_of_510 [Concat] outputs: [510 -> (1, 5, 352, 672)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_511 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 510
[11/23/2022-20:24:44] [V] [TRT] Searching for input: a
[11/23/2022-20:24:44] [V] [TRT] node_of_511 [Conv] inputs: [510 -> (1, 5, 352, 672)[FLOAT]], [a -> (32, 5, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 5, 352, 672)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_511 for ONNX node: node_of_511
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 511 for ONNX tensor: 511
[11/23/2022-20:24:44] [V] [TRT] node_of_511 [Conv] outputs: [511 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_512 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 511
[11/23/2022-20:24:44] [V] [TRT] Searching for input: g
[11/23/2022-20:24:44] [V] [TRT] Searching for input: e
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_512 [BatchNormalization] inputs: [511 -> (1, 32, 176, 336)[FLOAT]], [g -> (32)[FLOAT]], [e -> (32)[FLOAT]], [backbone.features.0.1.running_mean -> (32)[FLOAT]], [backbone.features.0.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_512 for ONNX node: node_of_512
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 512 for ONNX tensor: 512
[11/23/2022-20:24:44] [V] [TRT] node_of_512 [BatchNormalization] outputs: [512 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_513 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 512
[11/23/2022-20:24:44] [V] [TRT] node_of_513 [Clip] inputs: [512 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_513 for ONNX node: node_of_513
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 513 for ONNX tensor: 513
[11/23/2022-20:24:44] [V] [TRT] node_of_513 [Clip] outputs: [513 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_514 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 513
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_514 [Conv] inputs: [513 -> (1, 32, 176, 336)[FLOAT]], [backbone.features.1.conv.0.0.weight -> (32, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_514 for ONNX node: node_of_514
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 514 for ONNX tensor: 514
[11/23/2022-20:24:44] [V] [TRT] node_of_514 [Conv] outputs: [514 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_515 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 514
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_515 [BatchNormalization] inputs: [514 -> (1, 32, 176, 336)[FLOAT]], [backbone.features.1.conv.0.1.weight -> (32)[FLOAT]], [backbone.features.1.conv.0.1.bias -> (32)[FLOAT]], [backbone.features.1.conv.0.1.running_mean -> (32)[FLOAT]], [backbone.features.1.conv.0.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_515 for ONNX node: node_of_515
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 515 for ONNX tensor: 515
[11/23/2022-20:24:44] [V] [TRT] node_of_515 [BatchNormalization] outputs: [515 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_516 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 515
[11/23/2022-20:24:44] [V] [TRT] node_of_516 [Clip] inputs: [515 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_516 for ONNX node: node_of_516
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 516 for ONNX tensor: 516
[11/23/2022-20:24:44] [V] [TRT] node_of_516 [Clip] outputs: [516 -> (1, 32, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_517 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 516
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_517 [Conv] inputs: [516 -> (1, 32, 176, 336)[FLOAT]], [backbone.features.1.conv.1.weight -> (16, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_517 for ONNX node: node_of_517
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 16
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 16, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 517 for ONNX tensor: 517
[11/23/2022-20:24:44] [V] [TRT] node_of_517 [Conv] outputs: [517 -> (1, 16, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_518 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 517
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.2.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.2.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.1.conv.2.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_518 [BatchNormalization] inputs: [517 -> (1, 16, 176, 336)[FLOAT]], [backbone.features.1.conv.2.weight -> (16)[FLOAT]], [backbone.features.1.conv.2.bias -> (16)[FLOAT]], [backbone.features.1.conv.2.running_mean -> (16)[FLOAT]], [backbone.features.1.conv.2.running_var -> (16)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_518 for ONNX node: node_of_518
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 518 for ONNX tensor: 518
[11/23/2022-20:24:44] [V] [TRT] node_of_518 [BatchNormalization] outputs: [518 -> (1, 16, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_519 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 518
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_519 [Conv] inputs: [518 -> (1, 16, 176, 336)[FLOAT]], [backbone.features.2.conv.0.0.weight -> (96, 16, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 16, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_519 for ONNX node: node_of_519
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 519 for ONNX tensor: 519
[11/23/2022-20:24:44] [V] [TRT] node_of_519 [Conv] outputs: [519 -> (1, 96, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_520 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 519
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_520 [BatchNormalization] inputs: [519 -> (1, 96, 176, 336)[FLOAT]], [backbone.features.2.conv.0.1.weight -> (96)[FLOAT]], [backbone.features.2.conv.0.1.bias -> (96)[FLOAT]], [backbone.features.2.conv.0.1.running_mean -> (96)[FLOAT]], [backbone.features.2.conv.0.1.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_520 for ONNX node: node_of_520
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 520 for ONNX tensor: 520
[11/23/2022-20:24:44] [V] [TRT] node_of_520 [BatchNormalization] outputs: [520 -> (1, 96, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_521 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 520
[11/23/2022-20:24:44] [V] [TRT] node_of_521 [Clip] inputs: [520 -> (1, 96, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_521 for ONNX node: node_of_521
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 521 for ONNX tensor: 521
[11/23/2022-20:24:44] [V] [TRT] node_of_521 [Clip] outputs: [521 -> (1, 96, 176, 336)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_522 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 521
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_522 [Conv] inputs: [521 -> (1, 96, 176, 336)[FLOAT]], [backbone.features.2.conv.1.0.weight -> (96, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 176, 336)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_522 for ONNX node: node_of_522
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 522 for ONNX tensor: 522
[11/23/2022-20:24:44] [V] [TRT] node_of_522 [Conv] outputs: [522 -> (1, 96, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_523 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 522
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_523 [BatchNormalization] inputs: [522 -> (1, 96, 88, 168)[FLOAT]], [backbone.features.2.conv.1.1.weight -> (96)[FLOAT]], [backbone.features.2.conv.1.1.bias -> (96)[FLOAT]], [backbone.features.2.conv.1.1.running_mean -> (96)[FLOAT]], [backbone.features.2.conv.1.1.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_523 for ONNX node: node_of_523
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 523 for ONNX tensor: 523
[11/23/2022-20:24:44] [V] [TRT] node_of_523 [BatchNormalization] outputs: [523 -> (1, 96, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_524 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 523
[11/23/2022-20:24:44] [V] [TRT] node_of_524 [Clip] inputs: [523 -> (1, 96, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_524 for ONNX node: node_of_524
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 524 for ONNX tensor: 524
[11/23/2022-20:24:44] [V] [TRT] node_of_524 [Clip] outputs: [524 -> (1, 96, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_525 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 524
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_525 [Conv] inputs: [524 -> (1, 96, 88, 168)[FLOAT]], [backbone.features.2.conv.2.weight -> (24, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_525 for ONNX node: node_of_525
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 525 for ONNX tensor: 525
[11/23/2022-20:24:44] [V] [TRT] node_of_525 [Conv] outputs: [525 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_526 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 525
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.2.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_526 [BatchNormalization] inputs: [525 -> (1, 24, 88, 168)[FLOAT]], [backbone.features.2.conv.3.weight -> (24)[FLOAT]], [backbone.features.2.conv.3.bias -> (24)[FLOAT]], [backbone.features.2.conv.3.running_mean -> (24)[FLOAT]], [backbone.features.2.conv.3.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_526 for ONNX node: node_of_526
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 526 for ONNX tensor: 526
[11/23/2022-20:24:44] [V] [TRT] node_of_526 [BatchNormalization] outputs: [526 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_527 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 526
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_527 [Conv] inputs: [526 -> (1, 24, 88, 168)[FLOAT]], [backbone.features.3.conv.0.0.weight -> (144, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_527 for ONNX node: node_of_527
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 527 for ONNX tensor: 527
[11/23/2022-20:24:44] [V] [TRT] node_of_527 [Conv] outputs: [527 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_528 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 527
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_528 [BatchNormalization] inputs: [527 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.3.conv.0.1.weight -> (144)[FLOAT]], [backbone.features.3.conv.0.1.bias -> (144)[FLOAT]], [backbone.features.3.conv.0.1.running_mean -> (144)[FLOAT]], [backbone.features.3.conv.0.1.running_var -> (144)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_528 for ONNX node: node_of_528
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 528 for ONNX tensor: 528
[11/23/2022-20:24:44] [V] [TRT] node_of_528 [BatchNormalization] outputs: [528 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_529 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 528
[11/23/2022-20:24:44] [V] [TRT] node_of_529 [Clip] inputs: [528 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_529 for ONNX node: node_of_529
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 529 for ONNX tensor: 529
[11/23/2022-20:24:44] [V] [TRT] node_of_529 [Clip] outputs: [529 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_530 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 529
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_530 [Conv] inputs: [529 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.3.conv.1.0.weight -> (144, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_530 for ONNX node: node_of_530
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 144
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 530 for ONNX tensor: 530
[11/23/2022-20:24:44] [V] [TRT] node_of_530 [Conv] outputs: [530 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_531 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 530
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_531 [BatchNormalization] inputs: [530 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.3.conv.1.1.weight -> (144)[FLOAT]], [backbone.features.3.conv.1.1.bias -> (144)[FLOAT]], [backbone.features.3.conv.1.1.running_mean -> (144)[FLOAT]], [backbone.features.3.conv.1.1.running_var -> (144)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_531 for ONNX node: node_of_531
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 531 for ONNX tensor: 531
[11/23/2022-20:24:44] [V] [TRT] node_of_531 [BatchNormalization] outputs: [531 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_532 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 531
[11/23/2022-20:24:44] [V] [TRT] node_of_532 [Clip] inputs: [531 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_532 for ONNX node: node_of_532
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 532 for ONNX tensor: 532
[11/23/2022-20:24:44] [V] [TRT] node_of_532 [Clip] outputs: [532 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_533 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 532
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_533 [Conv] inputs: [532 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.3.conv.2.weight -> (24, 144, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_533 for ONNX node: node_of_533
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 533 for ONNX tensor: 533
[11/23/2022-20:24:44] [V] [TRT] node_of_533 [Conv] outputs: [533 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_534 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 533
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.3.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_534 [BatchNormalization] inputs: [533 -> (1, 24, 88, 168)[FLOAT]], [backbone.features.3.conv.3.weight -> (24)[FLOAT]], [backbone.features.3.conv.3.bias -> (24)[FLOAT]], [backbone.features.3.conv.3.running_mean -> (24)[FLOAT]], [backbone.features.3.conv.3.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_534 for ONNX node: node_of_534
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 534 for ONNX tensor: 534
[11/23/2022-20:24:44] [V] [TRT] node_of_534 [BatchNormalization] outputs: [534 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_535 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 526
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 534
[11/23/2022-20:24:44] [V] [TRT] node_of_535 [Add] inputs: [526 -> (1, 24, 88, 168)[FLOAT]], [534 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_535 for ONNX node: node_of_535
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 535 for ONNX tensor: 535
[11/23/2022-20:24:44] [V] [TRT] node_of_535 [Add] outputs: [535 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_536 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 535
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_536 [Conv] inputs: [535 -> (1, 24, 88, 168)[FLOAT]], [backbone.features.4.conv.0.0.weight -> (144, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_536 for ONNX node: node_of_536
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 536 for ONNX tensor: 536
[11/23/2022-20:24:44] [V] [TRT] node_of_536 [Conv] outputs: [536 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_537 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 536
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_537 [BatchNormalization] inputs: [536 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.4.conv.0.1.weight -> (144)[FLOAT]], [backbone.features.4.conv.0.1.bias -> (144)[FLOAT]], [backbone.features.4.conv.0.1.running_mean -> (144)[FLOAT]], [backbone.features.4.conv.0.1.running_var -> (144)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_537 for ONNX node: node_of_537
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 537 for ONNX tensor: 537
[11/23/2022-20:24:44] [V] [TRT] node_of_537 [BatchNormalization] outputs: [537 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_538 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 537
[11/23/2022-20:24:44] [V] [TRT] node_of_538 [Clip] inputs: [537 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_538 for ONNX node: node_of_538
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 538 for ONNX tensor: 538
[11/23/2022-20:24:44] [V] [TRT] node_of_538 [Clip] outputs: [538 -> (1, 144, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_539 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 538
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_539 [Conv] inputs: [538 -> (1, 144, 88, 168)[FLOAT]], [backbone.features.4.conv.1.0.weight -> (144, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 144, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_539 for ONNX node: node_of_539
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 144
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 144, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 539 for ONNX tensor: 539
[11/23/2022-20:24:44] [V] [TRT] node_of_539 [Conv] outputs: [539 -> (1, 144, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_540 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 539
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_540 [BatchNormalization] inputs: [539 -> (1, 144, 44, 84)[FLOAT]], [backbone.features.4.conv.1.1.weight -> (144)[FLOAT]], [backbone.features.4.conv.1.1.bias -> (144)[FLOAT]], [backbone.features.4.conv.1.1.running_mean -> (144)[FLOAT]], [backbone.features.4.conv.1.1.running_var -> (144)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_540 for ONNX node: node_of_540
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 540 for ONNX tensor: 540
[11/23/2022-20:24:44] [V] [TRT] node_of_540 [BatchNormalization] outputs: [540 -> (1, 144, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_541 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 540
[11/23/2022-20:24:44] [V] [TRT] node_of_541 [Clip] inputs: [540 -> (1, 144, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_541 for ONNX node: node_of_541
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 541 for ONNX tensor: 541
[11/23/2022-20:24:44] [V] [TRT] node_of_541 [Clip] outputs: [541 -> (1, 144, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_542 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 541
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_542 [Conv] inputs: [541 -> (1, 144, 44, 84)[FLOAT]], [backbone.features.4.conv.2.weight -> (32, 144, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 144, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_542 for ONNX node: node_of_542
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 542 for ONNX tensor: 542
[11/23/2022-20:24:44] [V] [TRT] node_of_542 [Conv] outputs: [542 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_543 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 542
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.4.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_543 [BatchNormalization] inputs: [542 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.4.conv.3.weight -> (32)[FLOAT]], [backbone.features.4.conv.3.bias -> (32)[FLOAT]], [backbone.features.4.conv.3.running_mean -> (32)[FLOAT]], [backbone.features.4.conv.3.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_543 for ONNX node: node_of_543
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 543 for ONNX tensor: 543
[11/23/2022-20:24:44] [V] [TRT] node_of_543 [BatchNormalization] outputs: [543 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_544 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 543
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_544 [Conv] inputs: [543 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.5.conv.0.0.weight -> (192, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_544 for ONNX node: node_of_544
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 544 for ONNX tensor: 544
[11/23/2022-20:24:44] [V] [TRT] node_of_544 [Conv] outputs: [544 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_545 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 544
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_545 [BatchNormalization] inputs: [544 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.5.conv.0.1.weight -> (192)[FLOAT]], [backbone.features.5.conv.0.1.bias -> (192)[FLOAT]], [backbone.features.5.conv.0.1.running_mean -> (192)[FLOAT]], [backbone.features.5.conv.0.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_545 for ONNX node: node_of_545
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 545 for ONNX tensor: 545
[11/23/2022-20:24:44] [V] [TRT] node_of_545 [BatchNormalization] outputs: [545 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_546 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 545
[11/23/2022-20:24:44] [V] [TRT] node_of_546 [Clip] inputs: [545 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_546 for ONNX node: node_of_546
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 546 for ONNX tensor: 546
[11/23/2022-20:24:44] [V] [TRT] node_of_546 [Clip] outputs: [546 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_547 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 546
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_547 [Conv] inputs: [546 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.5.conv.1.0.weight -> (192, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_547 for ONNX node: node_of_547
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 547 for ONNX tensor: 547
[11/23/2022-20:24:44] [V] [TRT] node_of_547 [Conv] outputs: [547 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_548 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 547
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_548 [BatchNormalization] inputs: [547 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.5.conv.1.1.weight -> (192)[FLOAT]], [backbone.features.5.conv.1.1.bias -> (192)[FLOAT]], [backbone.features.5.conv.1.1.running_mean -> (192)[FLOAT]], [backbone.features.5.conv.1.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_548 for ONNX node: node_of_548
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 548 for ONNX tensor: 548
[11/23/2022-20:24:44] [V] [TRT] node_of_548 [BatchNormalization] outputs: [548 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_549 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 548
[11/23/2022-20:24:44] [V] [TRT] node_of_549 [Clip] inputs: [548 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_549 for ONNX node: node_of_549
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 549 for ONNX tensor: 549
[11/23/2022-20:24:44] [V] [TRT] node_of_549 [Clip] outputs: [549 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_550 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 549
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_550 [Conv] inputs: [549 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.5.conv.2.weight -> (32, 192, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_550 for ONNX node: node_of_550
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 550 for ONNX tensor: 550
[11/23/2022-20:24:44] [V] [TRT] node_of_550 [Conv] outputs: [550 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_551 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 550
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.5.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_551 [BatchNormalization] inputs: [550 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.5.conv.3.weight -> (32)[FLOAT]], [backbone.features.5.conv.3.bias -> (32)[FLOAT]], [backbone.features.5.conv.3.running_mean -> (32)[FLOAT]], [backbone.features.5.conv.3.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_551 for ONNX node: node_of_551
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 551 for ONNX tensor: 551
[11/23/2022-20:24:44] [V] [TRT] node_of_551 [BatchNormalization] outputs: [551 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_552 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 543
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 551
[11/23/2022-20:24:44] [V] [TRT] node_of_552 [Add] inputs: [543 -> (1, 32, 44, 84)[FLOAT]], [551 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_552 for ONNX node: node_of_552
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 552 for ONNX tensor: 552
[11/23/2022-20:24:44] [V] [TRT] node_of_552 [Add] outputs: [552 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_553 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 552
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_553 [Conv] inputs: [552 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.6.conv.0.0.weight -> (192, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_553 for ONNX node: node_of_553
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 553 for ONNX tensor: 553
[11/23/2022-20:24:44] [V] [TRT] node_of_553 [Conv] outputs: [553 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_554 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 553
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_554 [BatchNormalization] inputs: [553 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.6.conv.0.1.weight -> (192)[FLOAT]], [backbone.features.6.conv.0.1.bias -> (192)[FLOAT]], [backbone.features.6.conv.0.1.running_mean -> (192)[FLOAT]], [backbone.features.6.conv.0.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_554 for ONNX node: node_of_554
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 554 for ONNX tensor: 554
[11/23/2022-20:24:44] [V] [TRT] node_of_554 [BatchNormalization] outputs: [554 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_555 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 554
[11/23/2022-20:24:44] [V] [TRT] node_of_555 [Clip] inputs: [554 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_555 for ONNX node: node_of_555
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 555 for ONNX tensor: 555
[11/23/2022-20:24:44] [V] [TRT] node_of_555 [Clip] outputs: [555 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_556 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 555
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_556 [Conv] inputs: [555 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.6.conv.1.0.weight -> (192, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_556 for ONNX node: node_of_556
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 556 for ONNX tensor: 556
[11/23/2022-20:24:44] [V] [TRT] node_of_556 [Conv] outputs: [556 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_557 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 556
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_557 [BatchNormalization] inputs: [556 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.6.conv.1.1.weight -> (192)[FLOAT]], [backbone.features.6.conv.1.1.bias -> (192)[FLOAT]], [backbone.features.6.conv.1.1.running_mean -> (192)[FLOAT]], [backbone.features.6.conv.1.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_557 for ONNX node: node_of_557
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 557 for ONNX tensor: 557
[11/23/2022-20:24:44] [V] [TRT] node_of_557 [BatchNormalization] outputs: [557 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_558 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 557
[11/23/2022-20:24:44] [V] [TRT] node_of_558 [Clip] inputs: [557 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_558 for ONNX node: node_of_558
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 558 for ONNX tensor: 558
[11/23/2022-20:24:44] [V] [TRT] node_of_558 [Clip] outputs: [558 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_559 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 558
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_559 [Conv] inputs: [558 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.6.conv.2.weight -> (32, 192, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_559 for ONNX node: node_of_559
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 559 for ONNX tensor: 559
[11/23/2022-20:24:44] [V] [TRT] node_of_559 [Conv] outputs: [559 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_560 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 559
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.6.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_560 [BatchNormalization] inputs: [559 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.6.conv.3.weight -> (32)[FLOAT]], [backbone.features.6.conv.3.bias -> (32)[FLOAT]], [backbone.features.6.conv.3.running_mean -> (32)[FLOAT]], [backbone.features.6.conv.3.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_560 for ONNX node: node_of_560
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 560 for ONNX tensor: 560
[11/23/2022-20:24:44] [V] [TRT] node_of_560 [BatchNormalization] outputs: [560 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_561 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 552
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 560
[11/23/2022-20:24:44] [V] [TRT] node_of_561 [Add] inputs: [552 -> (1, 32, 44, 84)[FLOAT]], [560 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_561 for ONNX node: node_of_561
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 561 for ONNX tensor: 561
[11/23/2022-20:24:44] [V] [TRT] node_of_561 [Add] outputs: [561 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_562 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 561
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_562 [Conv] inputs: [561 -> (1, 32, 44, 84)[FLOAT]], [backbone.features.7.conv.0.0.weight -> (192, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_562 for ONNX node: node_of_562
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 562 for ONNX tensor: 562
[11/23/2022-20:24:44] [V] [TRT] node_of_562 [Conv] outputs: [562 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_563 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 562
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_563 [BatchNormalization] inputs: [562 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.7.conv.0.1.weight -> (192)[FLOAT]], [backbone.features.7.conv.0.1.bias -> (192)[FLOAT]], [backbone.features.7.conv.0.1.running_mean -> (192)[FLOAT]], [backbone.features.7.conv.0.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_563 for ONNX node: node_of_563
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 563 for ONNX tensor: 563
[11/23/2022-20:24:44] [V] [TRT] node_of_563 [BatchNormalization] outputs: [563 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_564 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 563
[11/23/2022-20:24:44] [V] [TRT] node_of_564 [Clip] inputs: [563 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_564 for ONNX node: node_of_564
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 564 for ONNX tensor: 564
[11/23/2022-20:24:44] [V] [TRT] node_of_564 [Clip] outputs: [564 -> (1, 192, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_565 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 564
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_565 [Conv] inputs: [564 -> (1, 192, 44, 84)[FLOAT]], [backbone.features.7.conv.1.0.weight -> (192, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_565 for ONNX node: node_of_565
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 192
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 192, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 565 for ONNX tensor: 565
[11/23/2022-20:24:44] [V] [TRT] node_of_565 [Conv] outputs: [565 -> (1, 192, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_566 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 565
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_566 [BatchNormalization] inputs: [565 -> (1, 192, 22, 42)[FLOAT]], [backbone.features.7.conv.1.1.weight -> (192)[FLOAT]], [backbone.features.7.conv.1.1.bias -> (192)[FLOAT]], [backbone.features.7.conv.1.1.running_mean -> (192)[FLOAT]], [backbone.features.7.conv.1.1.running_var -> (192)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_566 for ONNX node: node_of_566
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 566 for ONNX tensor: 566
[11/23/2022-20:24:44] [V] [TRT] node_of_566 [BatchNormalization] outputs: [566 -> (1, 192, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_567 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 566
[11/23/2022-20:24:44] [V] [TRT] node_of_567 [Clip] inputs: [566 -> (1, 192, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_567 for ONNX node: node_of_567
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 567 for ONNX tensor: 567
[11/23/2022-20:24:44] [V] [TRT] node_of_567 [Clip] outputs: [567 -> (1, 192, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_568 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 567
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_568 [Conv] inputs: [567 -> (1, 192, 22, 42)[FLOAT]], [backbone.features.7.conv.2.weight -> (64, 192, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 192, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_568 for ONNX node: node_of_568
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 568 for ONNX tensor: 568
[11/23/2022-20:24:44] [V] [TRT] node_of_568 [Conv] outputs: [568 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_569 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 568
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.7.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_569 [BatchNormalization] inputs: [568 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.7.conv.3.weight -> (64)[FLOAT]], [backbone.features.7.conv.3.bias -> (64)[FLOAT]], [backbone.features.7.conv.3.running_mean -> (64)[FLOAT]], [backbone.features.7.conv.3.running_var -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_569 for ONNX node: node_of_569
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 569 for ONNX tensor: 569
[11/23/2022-20:24:44] [V] [TRT] node_of_569 [BatchNormalization] outputs: [569 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_570 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 569
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_570 [Conv] inputs: [569 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.8.conv.0.0.weight -> (384, 64, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_570 for ONNX node: node_of_570
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 570 for ONNX tensor: 570
[11/23/2022-20:24:44] [V] [TRT] node_of_570 [Conv] outputs: [570 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_571 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 570
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_571 [BatchNormalization] inputs: [570 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.8.conv.0.1.weight -> (384)[FLOAT]], [backbone.features.8.conv.0.1.bias -> (384)[FLOAT]], [backbone.features.8.conv.0.1.running_mean -> (384)[FLOAT]], [backbone.features.8.conv.0.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_571 for ONNX node: node_of_571
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 571 for ONNX tensor: 571
[11/23/2022-20:24:44] [V] [TRT] node_of_571 [BatchNormalization] outputs: [571 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_572 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 571
[11/23/2022-20:24:44] [V] [TRT] node_of_572 [Clip] inputs: [571 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_572 for ONNX node: node_of_572
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 572 for ONNX tensor: 572
[11/23/2022-20:24:44] [V] [TRT] node_of_572 [Clip] outputs: [572 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_573 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 572
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_573 [Conv] inputs: [572 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.8.conv.1.0.weight -> (384, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_573 for ONNX node: node_of_573
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 573 for ONNX tensor: 573
[11/23/2022-20:24:44] [V] [TRT] node_of_573 [Conv] outputs: [573 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_574 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 573
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_574 [BatchNormalization] inputs: [573 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.8.conv.1.1.weight -> (384)[FLOAT]], [backbone.features.8.conv.1.1.bias -> (384)[FLOAT]], [backbone.features.8.conv.1.1.running_mean -> (384)[FLOAT]], [backbone.features.8.conv.1.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_574 for ONNX node: node_of_574
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 574 for ONNX tensor: 574
[11/23/2022-20:24:44] [V] [TRT] node_of_574 [BatchNormalization] outputs: [574 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_575 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 574
[11/23/2022-20:24:44] [V] [TRT] node_of_575 [Clip] inputs: [574 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_575 for ONNX node: node_of_575
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 575 for ONNX tensor: 575
[11/23/2022-20:24:44] [V] [TRT] node_of_575 [Clip] outputs: [575 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_576 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 575
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_576 [Conv] inputs: [575 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.8.conv.2.weight -> (64, 384, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_576 for ONNX node: node_of_576
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 576 for ONNX tensor: 576
[11/23/2022-20:24:44] [V] [TRT] node_of_576 [Conv] outputs: [576 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_577 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 576
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.8.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_577 [BatchNormalization] inputs: [576 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.8.conv.3.weight -> (64)[FLOAT]], [backbone.features.8.conv.3.bias -> (64)[FLOAT]], [backbone.features.8.conv.3.running_mean -> (64)[FLOAT]], [backbone.features.8.conv.3.running_var -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_577 for ONNX node: node_of_577
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 577 for ONNX tensor: 577
[11/23/2022-20:24:44] [V] [TRT] node_of_577 [BatchNormalization] outputs: [577 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_578 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 569
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 577
[11/23/2022-20:24:44] [V] [TRT] node_of_578 [Add] inputs: [569 -> (1, 64, 22, 42)[FLOAT]], [577 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_578 for ONNX node: node_of_578
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 578 for ONNX tensor: 578
[11/23/2022-20:24:44] [V] [TRT] node_of_578 [Add] outputs: [578 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_579 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 578
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_579 [Conv] inputs: [578 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.9.conv.0.0.weight -> (384, 64, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_579 for ONNX node: node_of_579
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 579 for ONNX tensor: 579
[11/23/2022-20:24:44] [V] [TRT] node_of_579 [Conv] outputs: [579 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_580 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 579
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_580 [BatchNormalization] inputs: [579 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.9.conv.0.1.weight -> (384)[FLOAT]], [backbone.features.9.conv.0.1.bias -> (384)[FLOAT]], [backbone.features.9.conv.0.1.running_mean -> (384)[FLOAT]], [backbone.features.9.conv.0.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_580 for ONNX node: node_of_580
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 580 for ONNX tensor: 580
[11/23/2022-20:24:44] [V] [TRT] node_of_580 [BatchNormalization] outputs: [580 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_581 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 580
[11/23/2022-20:24:44] [V] [TRT] node_of_581 [Clip] inputs: [580 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_581 for ONNX node: node_of_581
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 581 for ONNX tensor: 581
[11/23/2022-20:24:44] [V] [TRT] node_of_581 [Clip] outputs: [581 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_582 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 581
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_582 [Conv] inputs: [581 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.9.conv.1.0.weight -> (384, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_582 for ONNX node: node_of_582
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 582 for ONNX tensor: 582
[11/23/2022-20:24:44] [V] [TRT] node_of_582 [Conv] outputs: [582 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_583 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 582
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_583 [BatchNormalization] inputs: [582 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.9.conv.1.1.weight -> (384)[FLOAT]], [backbone.features.9.conv.1.1.bias -> (384)[FLOAT]], [backbone.features.9.conv.1.1.running_mean -> (384)[FLOAT]], [backbone.features.9.conv.1.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_583 for ONNX node: node_of_583
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 583 for ONNX tensor: 583
[11/23/2022-20:24:44] [V] [TRT] node_of_583 [BatchNormalization] outputs: [583 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_584 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 583
[11/23/2022-20:24:44] [V] [TRT] node_of_584 [Clip] inputs: [583 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_584 for ONNX node: node_of_584
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 584 for ONNX tensor: 584
[11/23/2022-20:24:44] [V] [TRT] node_of_584 [Clip] outputs: [584 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_585 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 584
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_585 [Conv] inputs: [584 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.9.conv.2.weight -> (64, 384, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_585 for ONNX node: node_of_585
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 585 for ONNX tensor: 585
[11/23/2022-20:24:44] [V] [TRT] node_of_585 [Conv] outputs: [585 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_586 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 585
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.9.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_586 [BatchNormalization] inputs: [585 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.9.conv.3.weight -> (64)[FLOAT]], [backbone.features.9.conv.3.bias -> (64)[FLOAT]], [backbone.features.9.conv.3.running_mean -> (64)[FLOAT]], [backbone.features.9.conv.3.running_var -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_586 for ONNX node: node_of_586
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 586 for ONNX tensor: 586
[11/23/2022-20:24:44] [V] [TRT] node_of_586 [BatchNormalization] outputs: [586 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_587 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 578
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 586
[11/23/2022-20:24:44] [V] [TRT] node_of_587 [Add] inputs: [578 -> (1, 64, 22, 42)[FLOAT]], [586 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_587 for ONNX node: node_of_587
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 587 for ONNX tensor: 587
[11/23/2022-20:24:44] [V] [TRT] node_of_587 [Add] outputs: [587 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_588 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 587
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_588 [Conv] inputs: [587 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.10.conv.0.0.weight -> (384, 64, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_588 for ONNX node: node_of_588
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 588 for ONNX tensor: 588
[11/23/2022-20:24:44] [V] [TRT] node_of_588 [Conv] outputs: [588 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_589 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 588
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_589 [BatchNormalization] inputs: [588 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.10.conv.0.1.weight -> (384)[FLOAT]], [backbone.features.10.conv.0.1.bias -> (384)[FLOAT]], [backbone.features.10.conv.0.1.running_mean -> (384)[FLOAT]], [backbone.features.10.conv.0.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_589 for ONNX node: node_of_589
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 589 for ONNX tensor: 589
[11/23/2022-20:24:44] [V] [TRT] node_of_589 [BatchNormalization] outputs: [589 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_590 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 589
[11/23/2022-20:24:44] [V] [TRT] node_of_590 [Clip] inputs: [589 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_590 for ONNX node: node_of_590
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 590 for ONNX tensor: 590
[11/23/2022-20:24:44] [V] [TRT] node_of_590 [Clip] outputs: [590 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_591 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 590
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_591 [Conv] inputs: [590 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.10.conv.1.0.weight -> (384, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_591 for ONNX node: node_of_591
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 591 for ONNX tensor: 591
[11/23/2022-20:24:44] [V] [TRT] node_of_591 [Conv] outputs: [591 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_592 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 591
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_592 [BatchNormalization] inputs: [591 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.10.conv.1.1.weight -> (384)[FLOAT]], [backbone.features.10.conv.1.1.bias -> (384)[FLOAT]], [backbone.features.10.conv.1.1.running_mean -> (384)[FLOAT]], [backbone.features.10.conv.1.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_592 for ONNX node: node_of_592
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 592 for ONNX tensor: 592
[11/23/2022-20:24:44] [V] [TRT] node_of_592 [BatchNormalization] outputs: [592 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_593 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 592
[11/23/2022-20:24:44] [V] [TRT] node_of_593 [Clip] inputs: [592 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_593 for ONNX node: node_of_593
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 593 for ONNX tensor: 593
[11/23/2022-20:24:44] [V] [TRT] node_of_593 [Clip] outputs: [593 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_594 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 593
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_594 [Conv] inputs: [593 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.10.conv.2.weight -> (64, 384, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_594 for ONNX node: node_of_594
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 594 for ONNX tensor: 594
[11/23/2022-20:24:44] [V] [TRT] node_of_594 [Conv] outputs: [594 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_595 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 594
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.10.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_595 [BatchNormalization] inputs: [594 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.10.conv.3.weight -> (64)[FLOAT]], [backbone.features.10.conv.3.bias -> (64)[FLOAT]], [backbone.features.10.conv.3.running_mean -> (64)[FLOAT]], [backbone.features.10.conv.3.running_var -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_595 for ONNX node: node_of_595
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 595 for ONNX tensor: 595
[11/23/2022-20:24:44] [V] [TRT] node_of_595 [BatchNormalization] outputs: [595 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_596 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 587
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 595
[11/23/2022-20:24:44] [V] [TRT] node_of_596 [Add] inputs: [587 -> (1, 64, 22, 42)[FLOAT]], [595 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_596 for ONNX node: node_of_596
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 596 for ONNX tensor: 596
[11/23/2022-20:24:44] [V] [TRT] node_of_596 [Add] outputs: [596 -> (1, 64, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_597 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 596
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_597 [Conv] inputs: [596 -> (1, 64, 22, 42)[FLOAT]], [backbone.features.11.conv.0.0.weight -> (384, 64, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_597 for ONNX node: node_of_597
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 597 for ONNX tensor: 597
[11/23/2022-20:24:44] [V] [TRT] node_of_597 [Conv] outputs: [597 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_598 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 597
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_598 [BatchNormalization] inputs: [597 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.11.conv.0.1.weight -> (384)[FLOAT]], [backbone.features.11.conv.0.1.bias -> (384)[FLOAT]], [backbone.features.11.conv.0.1.running_mean -> (384)[FLOAT]], [backbone.features.11.conv.0.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_598 for ONNX node: node_of_598
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 598 for ONNX tensor: 598
[11/23/2022-20:24:44] [V] [TRT] node_of_598 [BatchNormalization] outputs: [598 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_599 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 598
[11/23/2022-20:24:44] [V] [TRT] node_of_599 [Clip] inputs: [598 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_599 for ONNX node: node_of_599
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 599 for ONNX tensor: 599
[11/23/2022-20:24:44] [V] [TRT] node_of_599 [Clip] outputs: [599 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_600 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 599
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_600 [Conv] inputs: [599 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.11.conv.1.0.weight -> (384, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_600 for ONNX node: node_of_600
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 384
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 600 for ONNX tensor: 600
[11/23/2022-20:24:44] [V] [TRT] node_of_600 [Conv] outputs: [600 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_601 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 600
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_601 [BatchNormalization] inputs: [600 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.11.conv.1.1.weight -> (384)[FLOAT]], [backbone.features.11.conv.1.1.bias -> (384)[FLOAT]], [backbone.features.11.conv.1.1.running_mean -> (384)[FLOAT]], [backbone.features.11.conv.1.1.running_var -> (384)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_601 for ONNX node: node_of_601
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 601 for ONNX tensor: 601
[11/23/2022-20:24:44] [V] [TRT] node_of_601 [BatchNormalization] outputs: [601 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_602 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 601
[11/23/2022-20:24:44] [V] [TRT] node_of_602 [Clip] inputs: [601 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_602 for ONNX node: node_of_602
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 602 for ONNX tensor: 602
[11/23/2022-20:24:44] [V] [TRT] node_of_602 [Clip] outputs: [602 -> (1, 384, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_603 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 602
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_603 [Conv] inputs: [602 -> (1, 384, 22, 42)[FLOAT]], [backbone.features.11.conv.2.weight -> (96, 384, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 384, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_603 for ONNX node: node_of_603
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 603 for ONNX tensor: 603
[11/23/2022-20:24:44] [V] [TRT] node_of_603 [Conv] outputs: [603 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_604 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 603
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.11.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_604 [BatchNormalization] inputs: [603 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.11.conv.3.weight -> (96)[FLOAT]], [backbone.features.11.conv.3.bias -> (96)[FLOAT]], [backbone.features.11.conv.3.running_mean -> (96)[FLOAT]], [backbone.features.11.conv.3.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_604 for ONNX node: node_of_604
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 604 for ONNX tensor: 604
[11/23/2022-20:24:44] [V] [TRT] node_of_604 [BatchNormalization] outputs: [604 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_605 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 604
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_605 [Conv] inputs: [604 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.12.conv.0.0.weight -> (576, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_605 for ONNX node: node_of_605
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 605 for ONNX tensor: 605
[11/23/2022-20:24:44] [V] [TRT] node_of_605 [Conv] outputs: [605 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_606 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 605
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_606 [BatchNormalization] inputs: [605 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.12.conv.0.1.weight -> (576)[FLOAT]], [backbone.features.12.conv.0.1.bias -> (576)[FLOAT]], [backbone.features.12.conv.0.1.running_mean -> (576)[FLOAT]], [backbone.features.12.conv.0.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_606 for ONNX node: node_of_606
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 606 for ONNX tensor: 606
[11/23/2022-20:24:44] [V] [TRT] node_of_606 [BatchNormalization] outputs: [606 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_607 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 606
[11/23/2022-20:24:44] [V] [TRT] node_of_607 [Clip] inputs: [606 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_607 for ONNX node: node_of_607
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 607 for ONNX tensor: 607
[11/23/2022-20:24:44] [V] [TRT] node_of_607 [Clip] outputs: [607 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_608 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 607
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_608 [Conv] inputs: [607 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.12.conv.1.0.weight -> (576, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_608 for ONNX node: node_of_608
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 608 for ONNX tensor: 608
[11/23/2022-20:24:44] [V] [TRT] node_of_608 [Conv] outputs: [608 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_609 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 608
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_609 [BatchNormalization] inputs: [608 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.12.conv.1.1.weight -> (576)[FLOAT]], [backbone.features.12.conv.1.1.bias -> (576)[FLOAT]], [backbone.features.12.conv.1.1.running_mean -> (576)[FLOAT]], [backbone.features.12.conv.1.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_609 for ONNX node: node_of_609
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 609 for ONNX tensor: 609
[11/23/2022-20:24:44] [V] [TRT] node_of_609 [BatchNormalization] outputs: [609 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_610 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 609
[11/23/2022-20:24:44] [V] [TRT] node_of_610 [Clip] inputs: [609 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_610 for ONNX node: node_of_610
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 610 for ONNX tensor: 610
[11/23/2022-20:24:44] [V] [TRT] node_of_610 [Clip] outputs: [610 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_611 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 610
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_611 [Conv] inputs: [610 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.12.conv.2.weight -> (96, 576, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_611 for ONNX node: node_of_611
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 611 for ONNX tensor: 611
[11/23/2022-20:24:44] [V] [TRT] node_of_611 [Conv] outputs: [611 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_612 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 611
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.12.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_612 [BatchNormalization] inputs: [611 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.12.conv.3.weight -> (96)[FLOAT]], [backbone.features.12.conv.3.bias -> (96)[FLOAT]], [backbone.features.12.conv.3.running_mean -> (96)[FLOAT]], [backbone.features.12.conv.3.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_612 for ONNX node: node_of_612
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 612 for ONNX tensor: 612
[11/23/2022-20:24:44] [V] [TRT] node_of_612 [BatchNormalization] outputs: [612 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_613 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 604
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 612
[11/23/2022-20:24:44] [V] [TRT] node_of_613 [Add] inputs: [604 -> (1, 96, 22, 42)[FLOAT]], [612 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_613 for ONNX node: node_of_613
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 613 for ONNX tensor: 613
[11/23/2022-20:24:44] [V] [TRT] node_of_613 [Add] outputs: [613 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_614 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 613
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_614 [Conv] inputs: [613 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.13.conv.0.0.weight -> (576, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_614 for ONNX node: node_of_614
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 614 for ONNX tensor: 614
[11/23/2022-20:24:44] [V] [TRT] node_of_614 [Conv] outputs: [614 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_615 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 614
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_615 [BatchNormalization] inputs: [614 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.13.conv.0.1.weight -> (576)[FLOAT]], [backbone.features.13.conv.0.1.bias -> (576)[FLOAT]], [backbone.features.13.conv.0.1.running_mean -> (576)[FLOAT]], [backbone.features.13.conv.0.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_615 for ONNX node: node_of_615
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 615 for ONNX tensor: 615
[11/23/2022-20:24:44] [V] [TRT] node_of_615 [BatchNormalization] outputs: [615 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_616 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 615
[11/23/2022-20:24:44] [V] [TRT] node_of_616 [Clip] inputs: [615 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_616 for ONNX node: node_of_616
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 616 for ONNX tensor: 616
[11/23/2022-20:24:44] [V] [TRT] node_of_616 [Clip] outputs: [616 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_617 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 616
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_617 [Conv] inputs: [616 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.13.conv.1.0.weight -> (576, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_617 for ONNX node: node_of_617
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 617 for ONNX tensor: 617
[11/23/2022-20:24:44] [V] [TRT] node_of_617 [Conv] outputs: [617 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_618 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 617
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_618 [BatchNormalization] inputs: [617 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.13.conv.1.1.weight -> (576)[FLOAT]], [backbone.features.13.conv.1.1.bias -> (576)[FLOAT]], [backbone.features.13.conv.1.1.running_mean -> (576)[FLOAT]], [backbone.features.13.conv.1.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_618 for ONNX node: node_of_618
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 618 for ONNX tensor: 618
[11/23/2022-20:24:44] [V] [TRT] node_of_618 [BatchNormalization] outputs: [618 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_619 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 618
[11/23/2022-20:24:44] [V] [TRT] node_of_619 [Clip] inputs: [618 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_619 for ONNX node: node_of_619
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 619 for ONNX tensor: 619
[11/23/2022-20:24:44] [V] [TRT] node_of_619 [Clip] outputs: [619 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_620 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 619
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_620 [Conv] inputs: [619 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.13.conv.2.weight -> (96, 576, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_620 for ONNX node: node_of_620
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 620 for ONNX tensor: 620
[11/23/2022-20:24:44] [V] [TRT] node_of_620 [Conv] outputs: [620 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_621 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 620
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.13.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_621 [BatchNormalization] inputs: [620 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.13.conv.3.weight -> (96)[FLOAT]], [backbone.features.13.conv.3.bias -> (96)[FLOAT]], [backbone.features.13.conv.3.running_mean -> (96)[FLOAT]], [backbone.features.13.conv.3.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_621 for ONNX node: node_of_621
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 621 for ONNX tensor: 621
[11/23/2022-20:24:44] [V] [TRT] node_of_621 [BatchNormalization] outputs: [621 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_622 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 613
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 621
[11/23/2022-20:24:44] [V] [TRT] node_of_622 [Add] inputs: [613 -> (1, 96, 22, 42)[FLOAT]], [621 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_622 for ONNX node: node_of_622
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 622 for ONNX tensor: 622
[11/23/2022-20:24:44] [V] [TRT] node_of_622 [Add] outputs: [622 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_623 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 622
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_623 [Conv] inputs: [622 -> (1, 96, 22, 42)[FLOAT]], [backbone.features.14.conv.0.0.weight -> (576, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_623 for ONNX node: node_of_623
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 623 for ONNX tensor: 623
[11/23/2022-20:24:44] [V] [TRT] node_of_623 [Conv] outputs: [623 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_624 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 623
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_624 [BatchNormalization] inputs: [623 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.14.conv.0.1.weight -> (576)[FLOAT]], [backbone.features.14.conv.0.1.bias -> (576)[FLOAT]], [backbone.features.14.conv.0.1.running_mean -> (576)[FLOAT]], [backbone.features.14.conv.0.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_624 for ONNX node: node_of_624
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 624 for ONNX tensor: 624
[11/23/2022-20:24:44] [V] [TRT] node_of_624 [BatchNormalization] outputs: [624 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_625 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 624
[11/23/2022-20:24:44] [V] [TRT] node_of_625 [Clip] inputs: [624 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_625 for ONNX node: node_of_625
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 625 for ONNX tensor: 625
[11/23/2022-20:24:44] [V] [TRT] node_of_625 [Clip] outputs: [625 -> (1, 576, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_626 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 625
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_626 [Conv] inputs: [625 -> (1, 576, 22, 42)[FLOAT]], [backbone.features.14.conv.1.0.weight -> (576, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_626 for ONNX node: node_of_626
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (2, 2), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 576
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 576, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 626 for ONNX tensor: 626
[11/23/2022-20:24:44] [V] [TRT] node_of_626 [Conv] outputs: [626 -> (1, 576, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_627 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 626
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_627 [BatchNormalization] inputs: [626 -> (1, 576, 11, 21)[FLOAT]], [backbone.features.14.conv.1.1.weight -> (576)[FLOAT]], [backbone.features.14.conv.1.1.bias -> (576)[FLOAT]], [backbone.features.14.conv.1.1.running_mean -> (576)[FLOAT]], [backbone.features.14.conv.1.1.running_var -> (576)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_627 for ONNX node: node_of_627
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 627 for ONNX tensor: 627
[11/23/2022-20:24:44] [V] [TRT] node_of_627 [BatchNormalization] outputs: [627 -> (1, 576, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_628 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 627
[11/23/2022-20:24:44] [V] [TRT] node_of_628 [Clip] inputs: [627 -> (1, 576, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_628 for ONNX node: node_of_628
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 628 for ONNX tensor: 628
[11/23/2022-20:24:44] [V] [TRT] node_of_628 [Clip] outputs: [628 -> (1, 576, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_629 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 628
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_629 [Conv] inputs: [628 -> (1, 576, 11, 21)[FLOAT]], [backbone.features.14.conv.2.weight -> (160, 576, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 576, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_629 for ONNX node: node_of_629
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 160
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 629 for ONNX tensor: 629
[11/23/2022-20:24:44] [V] [TRT] node_of_629 [Conv] outputs: [629 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_630 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 629
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.14.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_630 [BatchNormalization] inputs: [629 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.14.conv.3.weight -> (160)[FLOAT]], [backbone.features.14.conv.3.bias -> (160)[FLOAT]], [backbone.features.14.conv.3.running_mean -> (160)[FLOAT]], [backbone.features.14.conv.3.running_var -> (160)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_630 for ONNX node: node_of_630
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 630 for ONNX tensor: 630
[11/23/2022-20:24:44] [V] [TRT] node_of_630 [BatchNormalization] outputs: [630 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_631 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 630
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_631 [Conv] inputs: [630 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.15.conv.0.0.weight -> (960, 160, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_631 for ONNX node: node_of_631
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 631 for ONNX tensor: 631
[11/23/2022-20:24:44] [V] [TRT] node_of_631 [Conv] outputs: [631 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_632 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 631
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_632 [BatchNormalization] inputs: [631 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.15.conv.0.1.weight -> (960)[FLOAT]], [backbone.features.15.conv.0.1.bias -> (960)[FLOAT]], [backbone.features.15.conv.0.1.running_mean -> (960)[FLOAT]], [backbone.features.15.conv.0.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_632 for ONNX node: node_of_632
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 632 for ONNX tensor: 632
[11/23/2022-20:24:44] [V] [TRT] node_of_632 [BatchNormalization] outputs: [632 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_633 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 632
[11/23/2022-20:24:44] [V] [TRT] node_of_633 [Clip] inputs: [632 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_633 for ONNX node: node_of_633
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 633 for ONNX tensor: 633
[11/23/2022-20:24:44] [V] [TRT] node_of_633 [Clip] outputs: [633 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_634 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 633
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_634 [Conv] inputs: [633 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.15.conv.1.0.weight -> (960, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_634 for ONNX node: node_of_634
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 634 for ONNX tensor: 634
[11/23/2022-20:24:44] [V] [TRT] node_of_634 [Conv] outputs: [634 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_635 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 634
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_635 [BatchNormalization] inputs: [634 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.15.conv.1.1.weight -> (960)[FLOAT]], [backbone.features.15.conv.1.1.bias -> (960)[FLOAT]], [backbone.features.15.conv.1.1.running_mean -> (960)[FLOAT]], [backbone.features.15.conv.1.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_635 for ONNX node: node_of_635
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 635 for ONNX tensor: 635
[11/23/2022-20:24:44] [V] [TRT] node_of_635 [BatchNormalization] outputs: [635 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_636 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 635
[11/23/2022-20:24:44] [V] [TRT] node_of_636 [Clip] inputs: [635 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_636 for ONNX node: node_of_636
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 636 for ONNX tensor: 636
[11/23/2022-20:24:44] [V] [TRT] node_of_636 [Clip] outputs: [636 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_637 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 636
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_637 [Conv] inputs: [636 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.15.conv.2.weight -> (160, 960, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_637 for ONNX node: node_of_637
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 160
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 637 for ONNX tensor: 637
[11/23/2022-20:24:44] [V] [TRT] node_of_637 [Conv] outputs: [637 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_638 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 637
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.15.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_638 [BatchNormalization] inputs: [637 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.15.conv.3.weight -> (160)[FLOAT]], [backbone.features.15.conv.3.bias -> (160)[FLOAT]], [backbone.features.15.conv.3.running_mean -> (160)[FLOAT]], [backbone.features.15.conv.3.running_var -> (160)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_638 for ONNX node: node_of_638
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 638 for ONNX tensor: 638
[11/23/2022-20:24:44] [V] [TRT] node_of_638 [BatchNormalization] outputs: [638 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_639 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 630
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 638
[11/23/2022-20:24:44] [V] [TRT] node_of_639 [Add] inputs: [630 -> (1, 160, 11, 21)[FLOAT]], [638 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_639 for ONNX node: node_of_639
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 639 for ONNX tensor: 639
[11/23/2022-20:24:44] [V] [TRT] node_of_639 [Add] outputs: [639 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_640 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 639
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_640 [Conv] inputs: [639 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.16.conv.0.0.weight -> (960, 160, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_640 for ONNX node: node_of_640
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 640 for ONNX tensor: 640
[11/23/2022-20:24:44] [V] [TRT] node_of_640 [Conv] outputs: [640 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_641 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 640
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_641 [BatchNormalization] inputs: [640 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.16.conv.0.1.weight -> (960)[FLOAT]], [backbone.features.16.conv.0.1.bias -> (960)[FLOAT]], [backbone.features.16.conv.0.1.running_mean -> (960)[FLOAT]], [backbone.features.16.conv.0.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_641 for ONNX node: node_of_641
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 641 for ONNX tensor: 641
[11/23/2022-20:24:44] [V] [TRT] node_of_641 [BatchNormalization] outputs: [641 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_642 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 641
[11/23/2022-20:24:44] [V] [TRT] node_of_642 [Clip] inputs: [641 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_642 for ONNX node: node_of_642
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 642 for ONNX tensor: 642
[11/23/2022-20:24:44] [V] [TRT] node_of_642 [Clip] outputs: [642 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_643 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 642
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_643 [Conv] inputs: [642 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.16.conv.1.0.weight -> (960, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_643 for ONNX node: node_of_643
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 643 for ONNX tensor: 643
[11/23/2022-20:24:44] [V] [TRT] node_of_643 [Conv] outputs: [643 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_644 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 643
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_644 [BatchNormalization] inputs: [643 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.16.conv.1.1.weight -> (960)[FLOAT]], [backbone.features.16.conv.1.1.bias -> (960)[FLOAT]], [backbone.features.16.conv.1.1.running_mean -> (960)[FLOAT]], [backbone.features.16.conv.1.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_644 for ONNX node: node_of_644
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 644 for ONNX tensor: 644
[11/23/2022-20:24:44] [V] [TRT] node_of_644 [BatchNormalization] outputs: [644 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_645 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 644
[11/23/2022-20:24:44] [V] [TRT] node_of_645 [Clip] inputs: [644 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_645 for ONNX node: node_of_645
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 645 for ONNX tensor: 645
[11/23/2022-20:24:44] [V] [TRT] node_of_645 [Clip] outputs: [645 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_646 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 645
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_646 [Conv] inputs: [645 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.16.conv.2.weight -> (160, 960, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_646 for ONNX node: node_of_646
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 160
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 646 for ONNX tensor: 646
[11/23/2022-20:24:44] [V] [TRT] node_of_646 [Conv] outputs: [646 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_647 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 646
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.16.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_647 [BatchNormalization] inputs: [646 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.16.conv.3.weight -> (160)[FLOAT]], [backbone.features.16.conv.3.bias -> (160)[FLOAT]], [backbone.features.16.conv.3.running_mean -> (160)[FLOAT]], [backbone.features.16.conv.3.running_var -> (160)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_647 for ONNX node: node_of_647
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 647 for ONNX tensor: 647
[11/23/2022-20:24:44] [V] [TRT] node_of_647 [BatchNormalization] outputs: [647 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_648 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 639
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 647
[11/23/2022-20:24:44] [V] [TRT] node_of_648 [Add] inputs: [639 -> (1, 160, 11, 21)[FLOAT]], [647 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_648 for ONNX node: node_of_648
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 648 for ONNX tensor: 648
[11/23/2022-20:24:44] [V] [TRT] node_of_648 [Add] outputs: [648 -> (1, 160, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_649 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 648
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.0.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_649 [Conv] inputs: [648 -> (1, 160, 11, 21)[FLOAT]], [backbone.features.17.conv.0.0.weight -> (960, 160, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 160, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_649 for ONNX node: node_of_649
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 649 for ONNX tensor: 649
[11/23/2022-20:24:44] [V] [TRT] node_of_649 [Conv] outputs: [649 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_650 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 649
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.0.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.0.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.0.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.0.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_650 [BatchNormalization] inputs: [649 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.17.conv.0.1.weight -> (960)[FLOAT]], [backbone.features.17.conv.0.1.bias -> (960)[FLOAT]], [backbone.features.17.conv.0.1.running_mean -> (960)[FLOAT]], [backbone.features.17.conv.0.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_650 for ONNX node: node_of_650
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 650 for ONNX tensor: 650
[11/23/2022-20:24:44] [V] [TRT] node_of_650 [BatchNormalization] outputs: [650 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_651 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 650
[11/23/2022-20:24:44] [V] [TRT] node_of_651 [Clip] inputs: [650 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_651 for ONNX node: node_of_651
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 651 for ONNX tensor: 651
[11/23/2022-20:24:44] [V] [TRT] node_of_651 [Clip] outputs: [651 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_652 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 651
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.1.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_652 [Conv] inputs: [651 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.17.conv.1.0.weight -> (960, 1, 3, 3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_652 for ONNX node: node_of_652
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 960
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 652 for ONNX tensor: 652
[11/23/2022-20:24:44] [V] [TRT] node_of_652 [Conv] outputs: [652 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_653 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 652
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.1.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.1.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.1.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.1.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_653 [BatchNormalization] inputs: [652 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.17.conv.1.1.weight -> (960)[FLOAT]], [backbone.features.17.conv.1.1.bias -> (960)[FLOAT]], [backbone.features.17.conv.1.1.running_mean -> (960)[FLOAT]], [backbone.features.17.conv.1.1.running_var -> (960)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_653 for ONNX node: node_of_653
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 653 for ONNX tensor: 653
[11/23/2022-20:24:44] [V] [TRT] node_of_653 [BatchNormalization] outputs: [653 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_654 [Clip]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 653
[11/23/2022-20:24:44] [V] [TRT] node_of_654 [Clip] inputs: [653 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_654 for ONNX node: node_of_654
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 654 for ONNX tensor: 654
[11/23/2022-20:24:44] [V] [TRT] node_of_654 [Clip] outputs: [654 -> (1, 960, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_655 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 654
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_655 [Conv] inputs: [654 -> (1, 960, 11, 21)[FLOAT]], [backbone.features.17.conv.2.weight -> (320, 960, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 960, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_655 for ONNX node: node_of_655
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 320
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 320, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 655 for ONNX tensor: 655
[11/23/2022-20:24:44] [V] [TRT] node_of_655 [Conv] outputs: [655 -> (1, 320, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_656 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 655
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.3.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.3.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.3.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: backbone.features.17.conv.3.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_656 [BatchNormalization] inputs: [655 -> (1, 320, 11, 21)[FLOAT]], [backbone.features.17.conv.3.weight -> (320)[FLOAT]], [backbone.features.17.conv.3.bias -> (320)[FLOAT]], [backbone.features.17.conv.3.running_mean -> (320)[FLOAT]], [backbone.features.17.conv.3.running_var -> (320)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_656 for ONNX node: node_of_656
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 656 for ONNX tensor: 656
[11/23/2022-20:24:44] [V] [TRT] node_of_656 [BatchNormalization] outputs: [656 -> (1, 320, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_657 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 656
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.proj_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_657 [Conv] inputs: [656 -> (1, 320, 11, 21)[FLOAT]], [neck.dla_up.ida_0.proj_1.conv.0.weight -> (96, 320, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 320, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_657 for ONNX node: node_of_657
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 11, 21)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 657 for ONNX tensor: 657
[11/23/2022-20:24:44] [V] [TRT] node_of_657 [Conv] outputs: [657 -> (1, 96, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_658 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 657
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.proj_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.proj_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.proj_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.proj_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_658 [BatchNormalization] inputs: [657 -> (1, 96, 11, 21)[FLOAT]], [neck.dla_up.ida_0.proj_1.conv.1.weight -> (96)[FLOAT]], [neck.dla_up.ida_0.proj_1.conv.1.bias -> (96)[FLOAT]], [neck.dla_up.ida_0.proj_1.conv.1.running_mean -> (96)[FLOAT]], [neck.dla_up.ida_0.proj_1.conv.1.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_658 for ONNX node: node_of_658
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 658 for ONNX tensor: 658
[11/23/2022-20:24:44] [V] [TRT] node_of_658 [BatchNormalization] outputs: [658 -> (1, 96, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_659 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 658
[11/23/2022-20:24:44] [V] [TRT] node_of_659 [Relu] inputs: [658 -> (1, 96, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_659 for ONNX node: node_of_659
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 659 for ONNX tensor: 659
[11/23/2022-20:24:44] [V] [TRT] node_of_659 [Relu] outputs: [659 -> (1, 96, 11, 21)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_660 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 659
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.up_1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_660 [ConvTranspose] inputs: [659 -> (1, 96, 11, 21)[FLOAT]], [neck.dla_up.ida_0.up_1.weight -> (96, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_660 for ONNX node: node_of_660
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 660 for ONNX tensor: 660
[11/23/2022-20:24:44] [V] [TRT] node_of_660 [ConvTranspose] outputs: [660 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_661 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 660
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 622
[11/23/2022-20:24:44] [V] [TRT] node_of_661 [Add] inputs: [660 -> (1, 96, 22, 42)[FLOAT]], [622 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_661 for ONNX node: node_of_661
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 661 for ONNX tensor: 661
[11/23/2022-20:24:44] [V] [TRT] node_of_661 [Add] outputs: [661 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_662 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 661
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.node_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_662 [Conv] inputs: [661 -> (1, 96, 22, 42)[FLOAT]], [neck.dla_up.ida_0.node_1.conv.0.weight -> (96, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_662 for ONNX node: node_of_662
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 662 for ONNX tensor: 662
[11/23/2022-20:24:44] [V] [TRT] node_of_662 [Conv] outputs: [662 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_663 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 662
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.node_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.node_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.node_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_0.node_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_663 [BatchNormalization] inputs: [662 -> (1, 96, 22, 42)[FLOAT]], [neck.dla_up.ida_0.node_1.conv.1.weight -> (96)[FLOAT]], [neck.dla_up.ida_0.node_1.conv.1.bias -> (96)[FLOAT]], [neck.dla_up.ida_0.node_1.conv.1.running_mean -> (96)[FLOAT]], [neck.dla_up.ida_0.node_1.conv.1.running_var -> (96)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_663 for ONNX node: node_of_663
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 663 for ONNX tensor: 663
[11/23/2022-20:24:44] [V] [TRT] node_of_663 [BatchNormalization] outputs: [663 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_664 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 663
[11/23/2022-20:24:44] [V] [TRT] node_of_664 [Relu] inputs: [663 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_664 for ONNX node: node_of_664
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 664 for ONNX tensor: 664
[11/23/2022-20:24:44] [V] [TRT] node_of_664 [Relu] outputs: [664 -> (1, 96, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_665 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 622
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_665 [Conv] inputs: [622 -> (1, 96, 22, 42)[FLOAT]], [neck.dla_up.ida_1.proj_1.conv.0.weight -> (32, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_665 for ONNX node: node_of_665
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 665 for ONNX tensor: 665
[11/23/2022-20:24:44] [V] [TRT] node_of_665 [Conv] outputs: [665 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_666 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 665
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_666 [BatchNormalization] inputs: [665 -> (1, 32, 22, 42)[FLOAT]], [neck.dla_up.ida_1.proj_1.conv.1.weight -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_1.conv.1.bias -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_1.conv.1.running_mean -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_1.conv.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_666 for ONNX node: node_of_666
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 666 for ONNX tensor: 666
[11/23/2022-20:24:44] [V] [TRT] node_of_666 [BatchNormalization] outputs: [666 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_667 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 666
[11/23/2022-20:24:44] [V] [TRT] node_of_667 [Relu] inputs: [666 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_667 for ONNX node: node_of_667
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 667 for ONNX tensor: 667
[11/23/2022-20:24:44] [V] [TRT] node_of_667 [Relu] outputs: [667 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_668 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 667
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.up_1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_668 [ConvTranspose] inputs: [667 -> (1, 32, 22, 42)[FLOAT]], [neck.dla_up.ida_1.up_1.weight -> (32, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_668 for ONNX node: node_of_668
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 668 for ONNX tensor: 668
[11/23/2022-20:24:44] [V] [TRT] node_of_668 [ConvTranspose] outputs: [668 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_669 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 668
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 561
[11/23/2022-20:24:44] [V] [TRT] node_of_669 [Add] inputs: [668 -> (1, 32, 44, 84)[FLOAT]], [561 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_669 for ONNX node: node_of_669
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 669 for ONNX tensor: 669
[11/23/2022-20:24:44] [V] [TRT] node_of_669 [Add] outputs: [669 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_670 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 669
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_670 [Conv] inputs: [669 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_1.node_1.conv.0.weight -> (32, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_670 for ONNX node: node_of_670
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 670 for ONNX tensor: 670
[11/23/2022-20:24:44] [V] [TRT] node_of_670 [Conv] outputs: [670 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_671 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 670
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_671 [BatchNormalization] inputs: [670 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_1.node_1.conv.1.weight -> (32)[FLOAT]], [neck.dla_up.ida_1.node_1.conv.1.bias -> (32)[FLOAT]], [neck.dla_up.ida_1.node_1.conv.1.running_mean -> (32)[FLOAT]], [neck.dla_up.ida_1.node_1.conv.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_671 for ONNX node: node_of_671
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 671 for ONNX tensor: 671
[11/23/2022-20:24:44] [V] [TRT] node_of_671 [BatchNormalization] outputs: [671 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_672 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 671
[11/23/2022-20:24:44] [V] [TRT] node_of_672 [Relu] inputs: [671 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_672 for ONNX node: node_of_672
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 672 for ONNX tensor: 672
[11/23/2022-20:24:44] [V] [TRT] node_of_672 [Relu] outputs: [672 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_673 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 664
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_673 [Conv] inputs: [664 -> (1, 96, 22, 42)[FLOAT]], [neck.dla_up.ida_1.proj_2.conv.0.weight -> (32, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_673 for ONNX node: node_of_673
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 673 for ONNX tensor: 673
[11/23/2022-20:24:44] [V] [TRT] node_of_673 [Conv] outputs: [673 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_674 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 673
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.proj_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_674 [BatchNormalization] inputs: [673 -> (1, 32, 22, 42)[FLOAT]], [neck.dla_up.ida_1.proj_2.conv.1.weight -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_2.conv.1.bias -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_2.conv.1.running_mean -> (32)[FLOAT]], [neck.dla_up.ida_1.proj_2.conv.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_674 for ONNX node: node_of_674
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 674 for ONNX tensor: 674
[11/23/2022-20:24:44] [V] [TRT] node_of_674 [BatchNormalization] outputs: [674 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_675 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 674
[11/23/2022-20:24:44] [V] [TRT] node_of_675 [Relu] inputs: [674 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_675 for ONNX node: node_of_675
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 675 for ONNX tensor: 675
[11/23/2022-20:24:44] [V] [TRT] node_of_675 [Relu] outputs: [675 -> (1, 32, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_676 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 675
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.up_2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_676 [ConvTranspose] inputs: [675 -> (1, 32, 22, 42)[FLOAT]], [neck.dla_up.ida_1.up_2.weight -> (32, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_676 for ONNX node: node_of_676
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 676 for ONNX tensor: 676
[11/23/2022-20:24:44] [V] [TRT] node_of_676 [ConvTranspose] outputs: [676 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_677 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 676
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 672
[11/23/2022-20:24:44] [V] [TRT] node_of_677 [Add] inputs: [676 -> (1, 32, 44, 84)[FLOAT]], [672 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_677 for ONNX node: node_of_677
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 677 for ONNX tensor: 677
[11/23/2022-20:24:44] [V] [TRT] node_of_677 [Add] outputs: [677 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_678 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 677
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_678 [Conv] inputs: [677 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_1.node_2.conv.0.weight -> (32, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_678 for ONNX node: node_of_678
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 678 for ONNX tensor: 678
[11/23/2022-20:24:44] [V] [TRT] node_of_678 [Conv] outputs: [678 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_679 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 678
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_1.node_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_679 [BatchNormalization] inputs: [678 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_1.node_2.conv.1.weight -> (32)[FLOAT]], [neck.dla_up.ida_1.node_2.conv.1.bias -> (32)[FLOAT]], [neck.dla_up.ida_1.node_2.conv.1.running_mean -> (32)[FLOAT]], [neck.dla_up.ida_1.node_2.conv.1.running_var -> (32)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_679 for ONNX node: node_of_679
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 679 for ONNX tensor: 679
[11/23/2022-20:24:44] [V] [TRT] node_of_679 [BatchNormalization] outputs: [679 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_680 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 679
[11/23/2022-20:24:44] [V] [TRT] node_of_680 [Relu] inputs: [679 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_680 for ONNX node: node_of_680
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 680 for ONNX tensor: 680
[11/23/2022-20:24:44] [V] [TRT] node_of_680 [Relu] outputs: [680 -> (1, 32, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_681 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 561
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_681 [Conv] inputs: [561 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_1.conv.0.weight -> (24, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_681 for ONNX node: node_of_681
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 681 for ONNX tensor: 681
[11/23/2022-20:24:44] [V] [TRT] node_of_681 [Conv] outputs: [681 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_682 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 681
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_682 [BatchNormalization] inputs: [681 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_1.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_1.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_1.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_1.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_682 for ONNX node: node_of_682
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 682 for ONNX tensor: 682
[11/23/2022-20:24:44] [V] [TRT] node_of_682 [BatchNormalization] outputs: [682 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_683 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 682
[11/23/2022-20:24:44] [V] [TRT] node_of_683 [Relu] inputs: [682 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_683 for ONNX node: node_of_683
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 683 for ONNX tensor: 683
[11/23/2022-20:24:44] [V] [TRT] node_of_683 [Relu] outputs: [683 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_684 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 683
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.up_1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_684 [ConvTranspose] inputs: [683 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.up_1.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_684 for ONNX node: node_of_684
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 684 for ONNX tensor: 684
[11/23/2022-20:24:44] [V] [TRT] node_of_684 [ConvTranspose] outputs: [684 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_685 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 684
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 535
[11/23/2022-20:24:44] [V] [TRT] node_of_685 [Add] inputs: [684 -> (1, 24, 88, 168)[FLOAT]], [535 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_685 for ONNX node: node_of_685
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 685 for ONNX tensor: 685
[11/23/2022-20:24:44] [V] [TRT] node_of_685 [Add] outputs: [685 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_686 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 685
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_686 [Conv] inputs: [685 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_1.conv.0.weight -> (24, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_686 for ONNX node: node_of_686
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 686 for ONNX tensor: 686
[11/23/2022-20:24:44] [V] [TRT] node_of_686 [Conv] outputs: [686 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_687 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 686
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_687 [BatchNormalization] inputs: [686 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_1.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.node_1.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.node_1.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.node_1.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_687 for ONNX node: node_of_687
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 687 for ONNX tensor: 687
[11/23/2022-20:24:44] [V] [TRT] node_of_687 [BatchNormalization] outputs: [687 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_688 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 687
[11/23/2022-20:24:44] [V] [TRT] node_of_688 [Relu] inputs: [687 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_688 for ONNX node: node_of_688
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 688 for ONNX tensor: 688
[11/23/2022-20:24:44] [V] [TRT] node_of_688 [Relu] outputs: [688 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_689 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 672
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_689 [Conv] inputs: [672 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_2.conv.0.weight -> (24, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_689 for ONNX node: node_of_689
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 689 for ONNX tensor: 689
[11/23/2022-20:24:44] [V] [TRT] node_of_689 [Conv] outputs: [689 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_690 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 689
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_690 [BatchNormalization] inputs: [689 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_2.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_2.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_2.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_2.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_690 for ONNX node: node_of_690
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 690 for ONNX tensor: 690
[11/23/2022-20:24:44] [V] [TRT] node_of_690 [BatchNormalization] outputs: [690 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_691 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 690
[11/23/2022-20:24:44] [V] [TRT] node_of_691 [Relu] inputs: [690 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_691 for ONNX node: node_of_691
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 691 for ONNX tensor: 691
[11/23/2022-20:24:44] [V] [TRT] node_of_691 [Relu] outputs: [691 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_692 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 691
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.up_2.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_692 [ConvTranspose] inputs: [691 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.up_2.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_692 for ONNX node: node_of_692
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 692 for ONNX tensor: 692
[11/23/2022-20:24:44] [V] [TRT] node_of_692 [ConvTranspose] outputs: [692 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_693 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 692
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 688
[11/23/2022-20:24:44] [V] [TRT] node_of_693 [Add] inputs: [692 -> (1, 24, 88, 168)[FLOAT]], [688 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_693 for ONNX node: node_of_693
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 693 for ONNX tensor: 693
[11/23/2022-20:24:44] [V] [TRT] node_of_693 [Add] outputs: [693 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_694 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 693
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_694 [Conv] inputs: [693 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_2.conv.0.weight -> (24, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_694 for ONNX node: node_of_694
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 694 for ONNX tensor: 694
[11/23/2022-20:24:44] [V] [TRT] node_of_694 [Conv] outputs: [694 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_695 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 694
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_695 [BatchNormalization] inputs: [694 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_2.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.node_2.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.node_2.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.node_2.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_695 for ONNX node: node_of_695
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 695 for ONNX tensor: 695
[11/23/2022-20:24:44] [V] [TRT] node_of_695 [BatchNormalization] outputs: [695 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_696 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 695
[11/23/2022-20:24:44] [V] [TRT] node_of_696 [Relu] inputs: [695 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_696 for ONNX node: node_of_696
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 696 for ONNX tensor: 696
[11/23/2022-20:24:44] [V] [TRT] node_of_696 [Relu] outputs: [696 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_697 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 680
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_3.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_697 [Conv] inputs: [680 -> (1, 32, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_3.conv.0.weight -> (24, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_697 for ONNX node: node_of_697
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 697 for ONNX tensor: 697
[11/23/2022-20:24:44] [V] [TRT] node_of_697 [Conv] outputs: [697 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_698 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 697
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_3.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_3.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_3.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.proj_3.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_698 [BatchNormalization] inputs: [697 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.proj_3.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_3.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_3.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.proj_3.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_698 for ONNX node: node_of_698
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 698 for ONNX tensor: 698
[11/23/2022-20:24:44] [V] [TRT] node_of_698 [BatchNormalization] outputs: [698 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_699 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 698
[11/23/2022-20:24:44] [V] [TRT] node_of_699 [Relu] inputs: [698 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_699 for ONNX node: node_of_699
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 699 for ONNX tensor: 699
[11/23/2022-20:24:44] [V] [TRT] node_of_699 [Relu] outputs: [699 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_700 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 699
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.up_3.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_700 [ConvTranspose] inputs: [699 -> (1, 24, 44, 84)[FLOAT]], [neck.dla_up.ida_2.up_3.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_700 for ONNX node: node_of_700
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 700 for ONNX tensor: 700
[11/23/2022-20:24:44] [V] [TRT] node_of_700 [ConvTranspose] outputs: [700 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_701 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 700
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 696
[11/23/2022-20:24:44] [V] [TRT] node_of_701 [Add] inputs: [700 -> (1, 24, 88, 168)[FLOAT]], [696 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_701 for ONNX node: node_of_701
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 701 for ONNX tensor: 701
[11/23/2022-20:24:44] [V] [TRT] node_of_701 [Add] outputs: [701 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_702 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 701
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_3.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_702 [Conv] inputs: [701 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_3.conv.0.weight -> (24, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_702 for ONNX node: node_of_702
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 702 for ONNX tensor: 702
[11/23/2022-20:24:44] [V] [TRT] node_of_702 [Conv] outputs: [702 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_703 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 702
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_3.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_3.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_3.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.dla_up.ida_2.node_3.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_703 [BatchNormalization] inputs: [702 -> (1, 24, 88, 168)[FLOAT]], [neck.dla_up.ida_2.node_3.conv.1.weight -> (24)[FLOAT]], [neck.dla_up.ida_2.node_3.conv.1.bias -> (24)[FLOAT]], [neck.dla_up.ida_2.node_3.conv.1.running_mean -> (24)[FLOAT]], [neck.dla_up.ida_2.node_3.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_703 for ONNX node: node_of_703
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 703 for ONNX tensor: 703
[11/23/2022-20:24:44] [V] [TRT] node_of_703 [BatchNormalization] outputs: [703 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_704 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 703
[11/23/2022-20:24:44] [V] [TRT] node_of_704 [Relu] inputs: [703 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_704 for ONNX node: node_of_704
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 704 for ONNX tensor: 704
[11/23/2022-20:24:44] [V] [TRT] node_of_704 [Relu] outputs: [704 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_705 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 680
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_705 [Conv] inputs: [680 -> (1, 32, 44, 84)[FLOAT]], [neck.ida_up.proj_1.conv.0.weight -> (24, 32, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 32, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_705 for ONNX node: node_of_705
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 44, 84)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 705 for ONNX tensor: 705
[11/23/2022-20:24:44] [V] [TRT] node_of_705 [Conv] outputs: [705 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_706 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 705
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_706 [BatchNormalization] inputs: [705 -> (1, 24, 44, 84)[FLOAT]], [neck.ida_up.proj_1.conv.1.weight -> (24)[FLOAT]], [neck.ida_up.proj_1.conv.1.bias -> (24)[FLOAT]], [neck.ida_up.proj_1.conv.1.running_mean -> (24)[FLOAT]], [neck.ida_up.proj_1.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_706 for ONNX node: node_of_706
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 706 for ONNX tensor: 706
[11/23/2022-20:24:44] [V] [TRT] node_of_706 [BatchNormalization] outputs: [706 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_707 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 706
[11/23/2022-20:24:44] [V] [TRT] node_of_707 [Relu] inputs: [706 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_707 for ONNX node: node_of_707
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 707 for ONNX tensor: 707
[11/23/2022-20:24:44] [V] [TRT] node_of_707 [Relu] outputs: [707 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_708 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 707
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.up_1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_708 [ConvTranspose] inputs: [707 -> (1, 24, 44, 84)[FLOAT]], [neck.ida_up.up_1.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_708 for ONNX node: node_of_708
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 708 for ONNX tensor: 708
[11/23/2022-20:24:44] [V] [TRT] node_of_708 [ConvTranspose] outputs: [708 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_709 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 708
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 704
[11/23/2022-20:24:44] [V] [TRT] node_of_709 [Add] inputs: [708 -> (1, 24, 88, 168)[FLOAT]], [704 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_709 for ONNX node: node_of_709
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 709 for ONNX tensor: 709
[11/23/2022-20:24:44] [V] [TRT] node_of_709 [Add] outputs: [709 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_710 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 709
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_1.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_710 [Conv] inputs: [709 -> (1, 24, 88, 168)[FLOAT]], [neck.ida_up.node_1.conv.0.weight -> (24, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_710 for ONNX node: node_of_710
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 710 for ONNX tensor: 710
[11/23/2022-20:24:44] [V] [TRT] node_of_710 [Conv] outputs: [710 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_711 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 710
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_1.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_1.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_1.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_1.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_711 [BatchNormalization] inputs: [710 -> (1, 24, 88, 168)[FLOAT]], [neck.ida_up.node_1.conv.1.weight -> (24)[FLOAT]], [neck.ida_up.node_1.conv.1.bias -> (24)[FLOAT]], [neck.ida_up.node_1.conv.1.running_mean -> (24)[FLOAT]], [neck.ida_up.node_1.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_711 for ONNX node: node_of_711
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 711 for ONNX tensor: 711
[11/23/2022-20:24:44] [V] [TRT] node_of_711 [BatchNormalization] outputs: [711 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_712 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 711
[11/23/2022-20:24:44] [V] [TRT] node_of_712 [Relu] inputs: [711 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_712 for ONNX node: node_of_712
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 712 for ONNX tensor: 712
[11/23/2022-20:24:44] [V] [TRT] node_of_712 [Relu] outputs: [712 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_713 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 664
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_713 [Conv] inputs: [664 -> (1, 96, 22, 42)[FLOAT]], [neck.ida_up.proj_2.conv.0.weight -> (24, 96, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 96, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_713 for ONNX node: node_of_713
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 22, 42)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 713 for ONNX tensor: 713
[11/23/2022-20:24:44] [V] [TRT] node_of_713 [Conv] outputs: [713 -> (1, 24, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_714 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 713
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.proj_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_714 [BatchNormalization] inputs: [713 -> (1, 24, 22, 42)[FLOAT]], [neck.ida_up.proj_2.conv.1.weight -> (24)[FLOAT]], [neck.ida_up.proj_2.conv.1.bias -> (24)[FLOAT]], [neck.ida_up.proj_2.conv.1.running_mean -> (24)[FLOAT]], [neck.ida_up.proj_2.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_714 for ONNX node: node_of_714
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 714 for ONNX tensor: 714
[11/23/2022-20:24:44] [V] [TRT] node_of_714 [BatchNormalization] outputs: [714 -> (1, 24, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_715 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 714
[11/23/2022-20:24:44] [V] [TRT] node_of_715 [Relu] inputs: [714 -> (1, 24, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_715 for ONNX node: node_of_715
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 715 for ONNX tensor: 715
[11/23/2022-20:24:44] [V] [TRT] node_of_715 [Relu] outputs: [715 -> (1, 24, 22, 42)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_716 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 715
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.up_2.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_716 [ConvTranspose] inputs: [715 -> (1, 24, 22, 42)[FLOAT]], [neck.ida_up.up_2.0.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_716 for ONNX node: node_of_716
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 716 for ONNX tensor: 716
[11/23/2022-20:24:44] [V] [TRT] node_of_716 [ConvTranspose] outputs: [716 -> (1, 24, 44, 84)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_717 [ConvTranspose]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 716
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.up_2.1.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_717 [ConvTranspose] inputs: [716 -> (1, 24, 44, 84)[FLOAT]], [neck.ida_up.up_2.1.weight -> (24, 1, 4, 4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Running deconvolution with: 
Padding mode: NOTSET
Pre-padding: (1, 1)
Post-padding: (1, 1)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_717 for ONNX node: node_of_717
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 717 for ONNX tensor: 717
[11/23/2022-20:24:44] [V] [TRT] node_of_717 [ConvTranspose] outputs: [717 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_718 [Add]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 717
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 712
[11/23/2022-20:24:44] [V] [TRT] node_of_718 [Add] inputs: [717 -> (1, 24, 88, 168)[FLOAT]], [712 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_718 for ONNX node: node_of_718
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 718 for ONNX tensor: 718
[11/23/2022-20:24:44] [V] [TRT] node_of_718 [Add] outputs: [718 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_719 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 718
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_2.conv.0.weight
[11/23/2022-20:24:44] [V] [TRT] node_of_719 [Conv] inputs: [718 -> (1, 24, 88, 168)[FLOAT]], [neck.ida_up.node_2.conv.0.weight -> (24, 24, 1, 1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_719 for ONNX node: node_of_719
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 719 for ONNX tensor: 719
[11/23/2022-20:24:44] [V] [TRT] node_of_719 [Conv] outputs: [719 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_720 [BatchNormalization]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 719
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_2.conv.1.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_2.conv.1.bias
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_2.conv.1.running_mean
[11/23/2022-20:24:44] [V] [TRT] Searching for input: neck.ida_up.node_2.conv.1.running_var
[11/23/2022-20:24:44] [V] [TRT] node_of_720 [BatchNormalization] inputs: [719 -> (1, 24, 88, 168)[FLOAT]], [neck.ida_up.node_2.conv.1.weight -> (24)[FLOAT]], [neck.ida_up.node_2.conv.1.bias -> (24)[FLOAT]], [neck.ida_up.node_2.conv.1.running_mean -> (24)[FLOAT]], [neck.ida_up.node_2.conv.1.running_var -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_720 for ONNX node: node_of_720
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 720 for ONNX tensor: 720
[11/23/2022-20:24:44] [V] [TRT] node_of_720 [BatchNormalization] outputs: [720 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_721 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 720
[11/23/2022-20:24:44] [V] [TRT] node_of_721 [Relu] inputs: [720 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_721 for ONNX node: node_of_721
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 721 for ONNX tensor: 721
[11/23/2022-20:24:44] [V] [TRT] node_of_721 [Relu] outputs: [721 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_722 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: wh.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: wh.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_722 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [wh.0.weight -> (64, 24, 3, 3)[FLOAT]], [wh.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_722 for ONNX node: node_of_722
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 722 for ONNX tensor: 722
[11/23/2022-20:24:44] [V] [TRT] node_of_722 [Conv] outputs: [722 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_723 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 722
[11/23/2022-20:24:44] [V] [TRT] node_of_723 [Relu] inputs: [722 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_723 for ONNX node: node_of_723
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 723 for ONNX tensor: 723
[11/23/2022-20:24:44] [V] [TRT] node_of_723 [Relu] outputs: [723 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_724 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 723
[11/23/2022-20:24:44] [V] [TRT] Searching for input: wh.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: wh.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_724 [Conv] inputs: [723 -> (1, 64, 88, 168)[FLOAT]], [wh.2.weight -> (2, 64, 1, 1)[FLOAT]], [wh.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_724 for ONNX node: node_of_724
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 724 for ONNX tensor: 724
[11/23/2022-20:24:44] [V] [TRT] node_of_724 [Conv] outputs: [724 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_725 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_725 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [reg.0.weight -> (64, 24, 3, 3)[FLOAT]], [reg.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_725 for ONNX node: node_of_725
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 725 for ONNX tensor: 725
[11/23/2022-20:24:44] [V] [TRT] node_of_725 [Conv] outputs: [725 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_726 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 725
[11/23/2022-20:24:44] [V] [TRT] node_of_726 [Relu] inputs: [725 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_726 for ONNX node: node_of_726
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 726 for ONNX tensor: 726
[11/23/2022-20:24:44] [V] [TRT] node_of_726 [Relu] outputs: [726 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_727 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 726
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_727 [Conv] inputs: [726 -> (1, 64, 88, 168)[FLOAT]], [reg.2.weight -> (2, 64, 1, 1)[FLOAT]], [reg.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_727 for ONNX node: node_of_727
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 727 for ONNX tensor: 727
[11/23/2022-20:24:44] [V] [TRT] node_of_727 [Conv] outputs: [727 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_728 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_728 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [hm.0.weight -> (64, 24, 3, 3)[FLOAT]], [hm.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_728 for ONNX node: node_of_728
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 728 for ONNX tensor: 728
[11/23/2022-20:24:44] [V] [TRT] node_of_728 [Conv] outputs: [728 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_729 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 728
[11/23/2022-20:24:44] [V] [TRT] node_of_729 [Relu] inputs: [728 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_729 for ONNX node: node_of_729
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 729 for ONNX tensor: 729
[11/23/2022-20:24:44] [V] [TRT] node_of_729 [Relu] outputs: [729 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_730 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 729
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_730 [Conv] inputs: [729 -> (1, 64, 88, 168)[FLOAT]], [hm.2.weight -> (16, 64, 1, 1)[FLOAT]], [hm.2.bias -> (16)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_730 for ONNX node: node_of_730
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 16
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 16, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 730 for ONNX tensor: 730
[11/23/2022-20:24:44] [V] [TRT] node_of_730 [Conv] outputs: [730 -> (1, 16, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_731 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_trunc.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_trunc.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_731 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [hm_trunc.0.weight -> (64, 24, 3, 3)[FLOAT]], [hm_trunc.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_731 for ONNX node: node_of_731
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 731 for ONNX tensor: 731
[11/23/2022-20:24:44] [V] [TRT] node_of_731 [Conv] outputs: [731 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_732 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 731
[11/23/2022-20:24:44] [V] [TRT] node_of_732 [Relu] inputs: [731 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_732 for ONNX node: node_of_732
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 732 for ONNX tensor: 732
[11/23/2022-20:24:44] [V] [TRT] node_of_732 [Relu] outputs: [732 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_733 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 732
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_trunc.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_trunc.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_733 [Conv] inputs: [732 -> (1, 64, 88, 168)[FLOAT]], [hm_trunc.2.weight -> (2, 64, 1, 1)[FLOAT]], [hm_trunc.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_733 for ONNX node: node_of_733
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 733 for ONNX tensor: 733
[11/23/2022-20:24:44] [V] [TRT] node_of_733 [Conv] outputs: [733 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_734 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg_stixel.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg_stixel.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_734 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [reg_stixel.0.weight -> (64, 24, 3, 3)[FLOAT]], [reg_stixel.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_734 for ONNX node: node_of_734
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 734 for ONNX tensor: 734
[11/23/2022-20:24:44] [V] [TRT] node_of_734 [Conv] outputs: [734 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_735 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 734
[11/23/2022-20:24:44] [V] [TRT] node_of_735 [Relu] inputs: [734 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_735 for ONNX node: node_of_735
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 735 for ONNX tensor: 735
[11/23/2022-20:24:44] [V] [TRT] node_of_735 [Relu] outputs: [735 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_736 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 735
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg_stixel.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: reg_stixel.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_736 [Conv] inputs: [735 -> (1, 64, 88, 168)[FLOAT]], [reg_stixel.2.weight -> (2, 64, 1, 1)[FLOAT]], [reg_stixel.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_736 for ONNX node: node_of_736
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 736 for ONNX tensor: 736
[11/23/2022-20:24:44] [V] [TRT] node_of_736 [Conv] outputs: [736 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_737 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_stixel.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_stixel.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_737 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [hm_stixel.0.weight -> (64, 24, 3, 3)[FLOAT]], [hm_stixel.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_737 for ONNX node: node_of_737
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 737 for ONNX tensor: 737
[11/23/2022-20:24:44] [V] [TRT] node_of_737 [Conv] outputs: [737 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_738 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 737
[11/23/2022-20:24:44] [V] [TRT] node_of_738 [Relu] inputs: [737 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_738 for ONNX node: node_of_738
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 738 for ONNX tensor: 738
[11/23/2022-20:24:44] [V] [TRT] node_of_738 [Relu] outputs: [738 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_739 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 738
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_stixel.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_stixel.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_739 [Conv] inputs: [738 -> (1, 64, 88, 168)[FLOAT]], [hm_stixel.2.weight -> (1, 64, 1, 1)[FLOAT]], [hm_stixel.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_739 for ONNX node: node_of_739
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 739 for ONNX tensor: 739
[11/23/2022-20:24:44] [V] [TRT] node_of_739 [Conv] outputs: [739 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_740 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: scene.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: scene.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_740 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [scene.0.weight -> (64, 24, 3, 3)[FLOAT]], [scene.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_740 for ONNX node: node_of_740
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 740 for ONNX tensor: 740
[11/23/2022-20:24:44] [V] [TRT] node_of_740 [Conv] outputs: [740 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_741 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 740
[11/23/2022-20:24:44] [V] [TRT] node_of_741 [Relu] inputs: [740 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_741 for ONNX node: node_of_741
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 741 for ONNX tensor: 741
[11/23/2022-20:24:44] [V] [TRT] node_of_741 [Relu] outputs: [741 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_742 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 741
[11/23/2022-20:24:44] [V] [TRT] Searching for input: scene.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: scene.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_742 [Conv] inputs: [741 -> (1, 64, 88, 168)[FLOAT]], [scene.2.weight -> (2, 64, 1, 1)[FLOAT]], [scene.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_742 for ONNX node: node_of_742
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 742 for ONNX tensor: 742
[11/23/2022-20:24:44] [V] [TRT] node_of_742 [Conv] outputs: [742 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_743 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: rot.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: rot.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_743 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [rot.0.weight -> (64, 24, 3, 3)[FLOAT]], [rot.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_743 for ONNX node: node_of_743
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 743 for ONNX tensor: 743
[11/23/2022-20:24:44] [V] [TRT] node_of_743 [Conv] outputs: [743 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_744 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 743
[11/23/2022-20:24:44] [V] [TRT] node_of_744 [Relu] inputs: [743 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_744 for ONNX node: node_of_744
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 744 for ONNX tensor: 744
[11/23/2022-20:24:44] [V] [TRT] node_of_744 [Relu] outputs: [744 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_745 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 744
[11/23/2022-20:24:44] [V] [TRT] Searching for input: rot.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: rot.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_745 [Conv] inputs: [744 -> (1, 64, 88, 168)[FLOAT]], [rot.2.weight -> (24, 64, 1, 1)[FLOAT]], [rot.2.bias -> (24)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_745 for ONNX node: node_of_745
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 745 for ONNX tensor: 745
[11/23/2022-20:24:44] [V] [TRT] node_of_745 [Conv] outputs: [745 -> (1, 24, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_746 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dim.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dim.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_746 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [dim.0.weight -> (64, 24, 3, 3)[FLOAT]], [dim.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_746 for ONNX node: node_of_746
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 746 for ONNX tensor: 746
[11/23/2022-20:24:44] [V] [TRT] node_of_746 [Conv] outputs: [746 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_747 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 746
[11/23/2022-20:24:44] [V] [TRT] node_of_747 [Relu] inputs: [746 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_747 for ONNX node: node_of_747
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 747 for ONNX tensor: 747
[11/23/2022-20:24:44] [V] [TRT] node_of_747 [Relu] outputs: [747 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_748 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 747
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dim.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dim.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_748 [Conv] inputs: [747 -> (1, 64, 88, 168)[FLOAT]], [dim.2.weight -> (3, 64, 1, 1)[FLOAT]], [dim.2.bias -> (3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_748 for ONNX node: node_of_748
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 3
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 3, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 748 for ONNX tensor: 748
[11/23/2022-20:24:44] [V] [TRT] node_of_748 [Conv] outputs: [748 -> (1, 3, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_749 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep_uncertainty.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep_uncertainty.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_749 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [dep_uncertainty.0.weight -> (64, 24, 3, 3)[FLOAT]], [dep_uncertainty.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_749 for ONNX node: node_of_749
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 749 for ONNX tensor: 749
[11/23/2022-20:24:44] [V] [TRT] node_of_749 [Conv] outputs: [749 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_750 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 749
[11/23/2022-20:24:44] [V] [TRT] node_of_750 [Relu] inputs: [749 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_750 for ONNX node: node_of_750
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 750 for ONNX tensor: 750
[11/23/2022-20:24:44] [V] [TRT] node_of_750 [Relu] outputs: [750 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_751 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 750
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep_uncertainty.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep_uncertainty.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_751 [Conv] inputs: [750 -> (1, 64, 88, 168)[FLOAT]], [dep_uncertainty.2.weight -> (1, 64, 1, 1)[FLOAT]], [dep_uncertainty.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_751 for ONNX node: node_of_751
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 751 for ONNX tensor: 751
[11/23/2022-20:24:44] [V] [TRT] node_of_751 [Conv] outputs: [751 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_752 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: amodel_offset.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: amodel_offset.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_752 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [amodel_offset.0.weight -> (64, 24, 3, 3)[FLOAT]], [amodel_offset.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_752 for ONNX node: node_of_752
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 752 for ONNX tensor: 752
[11/23/2022-20:24:44] [V] [TRT] node_of_752 [Conv] outputs: [752 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_753 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 752
[11/23/2022-20:24:44] [V] [TRT] node_of_753 [Relu] inputs: [752 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_753 for ONNX node: node_of_753
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 753 for ONNX tensor: 753
[11/23/2022-20:24:44] [V] [TRT] node_of_753 [Relu] outputs: [753 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_754 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 753
[11/23/2022-20:24:44] [V] [TRT] Searching for input: amodel_offset.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: amodel_offset.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_754 [Conv] inputs: [753 -> (1, 64, 88, 168)[FLOAT]], [amodel_offset.2.weight -> (2, 64, 1, 1)[FLOAT]], [amodel_offset.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_754 for ONNX node: node_of_754
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 754 for ONNX tensor: 754
[11/23/2022-20:24:44] [V] [TRT] node_of_754 [Conv] outputs: [754 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_755 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: latd.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: latd.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_755 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [latd.0.weight -> (64, 24, 3, 3)[FLOAT]], [latd.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_755 for ONNX node: node_of_755
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 755 for ONNX tensor: 755
[11/23/2022-20:24:44] [V] [TRT] node_of_755 [Conv] outputs: [755 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_756 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 755
[11/23/2022-20:24:44] [V] [TRT] node_of_756 [Relu] inputs: [755 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_756 for ONNX node: node_of_756
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 756 for ONNX tensor: 756
[11/23/2022-20:24:44] [V] [TRT] node_of_756 [Relu] outputs: [756 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_757 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 756
[11/23/2022-20:24:44] [V] [TRT] Searching for input: latd.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: latd.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_757 [Conv] inputs: [756 -> (1, 64, 88, 168)[FLOAT]], [latd.2.weight -> (1, 64, 1, 1)[FLOAT]], [latd.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_757 for ONNX node: node_of_757
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 757 for ONNX tensor: 757
[11/23/2022-20:24:44] [V] [TRT] node_of_757 [Conv] outputs: [757 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_758 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_758 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [dep.0.weight -> (64, 24, 3, 3)[FLOAT]], [dep.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_758 for ONNX node: node_of_758
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 758 for ONNX tensor: 758
[11/23/2022-20:24:44] [V] [TRT] node_of_758 [Conv] outputs: [758 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_759 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 758
[11/23/2022-20:24:44] [V] [TRT] node_of_759 [Relu] inputs: [758 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_759 for ONNX node: node_of_759
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 759 for ONNX tensor: 759
[11/23/2022-20:24:44] [V] [TRT] node_of_759 [Relu] outputs: [759 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_760 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 759
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: dep.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_760 [Conv] inputs: [759 -> (1, 64, 88, 168)[FLOAT]], [dep.2.weight -> (1, 64, 1, 1)[FLOAT]], [dep.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_760 for ONNX node: node_of_760
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 760 for ONNX tensor: 760
[11/23/2022-20:24:44] [V] [TRT] node_of_760 [Conv] outputs: [760 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_761 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcp_offset.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcp_offset.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_761 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [gcp_offset.0.weight -> (64, 24, 3, 3)[FLOAT]], [gcp_offset.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_761 for ONNX node: node_of_761
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 761 for ONNX tensor: 761
[11/23/2022-20:24:44] [V] [TRT] node_of_761 [Conv] outputs: [761 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_762 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 761
[11/23/2022-20:24:44] [V] [TRT] node_of_762 [Relu] inputs: [761 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_762 for ONNX node: node_of_762
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 762 for ONNX tensor: 762
[11/23/2022-20:24:44] [V] [TRT] node_of_762 [Relu] outputs: [762 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_763 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 762
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcp_offset.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcp_offset.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_763 [Conv] inputs: [762 -> (1, 64, 88, 168)[FLOAT]], [gcp_offset.2.weight -> (2, 64, 1, 1)[FLOAT]], [gcp_offset.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_763 for ONNX node: node_of_763
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 763 for ONNX tensor: 763
[11/23/2022-20:24:44] [V] [TRT] node_of_763 [Conv] outputs: [763 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_764 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_764 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [gcps.0.weight -> (64, 24, 3, 3)[FLOAT]], [gcps.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_764 for ONNX node: node_of_764
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 764 for ONNX tensor: 764
[11/23/2022-20:24:44] [V] [TRT] node_of_764 [Conv] outputs: [764 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_765 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 764
[11/23/2022-20:24:44] [V] [TRT] node_of_765 [Relu] inputs: [764 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_765 for ONNX node: node_of_765
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 765 for ONNX tensor: 765
[11/23/2022-20:24:44] [V] [TRT] node_of_765 [Relu] outputs: [765 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_766 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 765
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_766 [Conv] inputs: [765 -> (1, 64, 88, 168)[FLOAT]], [gcps.2.weight -> (8, 64, 1, 1)[FLOAT]], [gcps.2.bias -> (8)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_766 for ONNX node: node_of_766
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 8
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 8, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 766 for ONNX tensor: 766
[11/23/2022-20:24:44] [V] [TRT] node_of_766 [Conv] outputs: [766 -> (1, 8, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_767 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps_loff.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps_loff.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_767 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [gcps_loff.0.weight -> (64, 24, 3, 3)[FLOAT]], [gcps_loff.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_767 for ONNX node: node_of_767
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 767 for ONNX tensor: 767
[11/23/2022-20:24:44] [V] [TRT] node_of_767 [Conv] outputs: [767 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_768 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 767
[11/23/2022-20:24:44] [V] [TRT] node_of_768 [Relu] inputs: [767 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_768 for ONNX node: node_of_768
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 768 for ONNX tensor: 768
[11/23/2022-20:24:44] [V] [TRT] node_of_768 [Relu] outputs: [768 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_769 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 768
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps_loff.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: gcps_loff.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_769 [Conv] inputs: [768 -> (1, 64, 88, 168)[FLOAT]], [gcps_loff.2.weight -> (2, 64, 1, 1)[FLOAT]], [gcps_loff.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_769 for ONNX node: node_of_769
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 769 for ONNX tensor: 769
[11/23/2022-20:24:44] [V] [TRT] node_of_769 [Conv] outputs: [769 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_770 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_gcp.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_gcp.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_770 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [hm_gcp.0.weight -> (64, 24, 3, 3)[FLOAT]], [hm_gcp.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_770 for ONNX node: node_of_770
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 770 for ONNX tensor: 770
[11/23/2022-20:24:44] [V] [TRT] node_of_770 [Conv] outputs: [770 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_771 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 770
[11/23/2022-20:24:44] [V] [TRT] node_of_771 [Relu] inputs: [770 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_771 for ONNX node: node_of_771
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 771 for ONNX tensor: 771
[11/23/2022-20:24:44] [V] [TRT] node_of_771 [Relu] outputs: [771 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_772 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 771
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_gcp.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: hm_gcp.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_772 [Conv] inputs: [771 -> (1, 64, 88, 168)[FLOAT]], [hm_gcp.2.weight -> (4, 64, 1, 1)[FLOAT]], [hm_gcp.2.bias -> (4)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_772 for ONNX node: node_of_772
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 4
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 4, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 772 for ONNX tensor: 772
[11/23/2022-20:24:44] [V] [TRT] node_of_772 [Conv] outputs: [772 -> (1, 4, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_773 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_pm.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_pm.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_773 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_pm.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_pm.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_773 for ONNX node: node_of_773
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 773 for ONNX tensor: 773
[11/23/2022-20:24:44] [V] [TRT] node_of_773 [Conv] outputs: [773 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_774 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 773
[11/23/2022-20:24:44] [V] [TRT] node_of_774 [Relu] inputs: [773 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_774 for ONNX node: node_of_774
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 774 for ONNX tensor: 774
[11/23/2022-20:24:44] [V] [TRT] node_of_774 [Relu] outputs: [774 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_775 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 774
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_pm.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_pm.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_775 [Conv] inputs: [774 -> (1, 64, 88, 168)[FLOAT]], [lane_pm.2.weight -> (3, 64, 1, 1)[FLOAT]], [lane_pm.2.bias -> (3)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_775 for ONNX node: node_of_775
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 3
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 3, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 775 for ONNX tensor: 775
[11/23/2022-20:24:44] [V] [TRT] node_of_775 [Conv] outputs: [775 -> (1, 3, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_776 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_off.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_off.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_776 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_off.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_off.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_776 for ONNX node: node_of_776
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 776 for ONNX tensor: 776
[11/23/2022-20:24:44] [V] [TRT] node_of_776 [Conv] outputs: [776 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_777 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 776
[11/23/2022-20:24:44] [V] [TRT] node_of_777 [Relu] inputs: [776 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_777 for ONNX node: node_of_777
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 777 for ONNX tensor: 777
[11/23/2022-20:24:44] [V] [TRT] node_of_777 [Relu] outputs: [777 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_778 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 777
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_off.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_off.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_778 [Conv] inputs: [777 -> (1, 64, 88, 168)[FLOAT]], [lane_off.2.weight -> (2, 64, 1, 1)[FLOAT]], [lane_off.2.bias -> (2)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_778 for ONNX node: node_of_778
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 2
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 2, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 778 for ONNX tensor: 778
[11/23/2022-20:24:44] [V] [TRT] node_of_778 [Conv] outputs: [778 -> (1, 2, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_779 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_h.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_h.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_779 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_h.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_h.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_779 for ONNX node: node_of_779
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 779 for ONNX tensor: 779
[11/23/2022-20:24:44] [V] [TRT] node_of_779 [Conv] outputs: [779 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_780 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 779
[11/23/2022-20:24:44] [V] [TRT] node_of_780 [Relu] inputs: [779 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_780 for ONNX node: node_of_780
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 780 for ONNX tensor: 780
[11/23/2022-20:24:44] [V] [TRT] node_of_780 [Relu] outputs: [780 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_781 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 780
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_h.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_h.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_781 [Conv] inputs: [780 -> (1, 64, 88, 168)[FLOAT]], [lane_h.2.weight -> (1, 64, 1, 1)[FLOAT]], [lane_h.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_781 for ONNX node: node_of_781
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 781 for ONNX tensor: 781
[11/23/2022-20:24:44] [V] [TRT] node_of_781 [Conv] outputs: [781 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_782 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_auxi_im.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_auxi_im.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_782 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_auxi_im.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_auxi_im.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_782 for ONNX node: node_of_782
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 782 for ONNX tensor: 782
[11/23/2022-20:24:44] [V] [TRT] node_of_782 [Conv] outputs: [782 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_783 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 782
[11/23/2022-20:24:44] [V] [TRT] node_of_783 [Relu] inputs: [782 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_783 for ONNX node: node_of_783
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 783 for ONNX tensor: 783
[11/23/2022-20:24:44] [V] [TRT] node_of_783 [Relu] outputs: [783 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_784 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 783
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_auxi_im.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_auxi_im.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_784 [Conv] inputs: [783 -> (1, 64, 88, 168)[FLOAT]], [lane_auxi_im.2.weight -> (1, 64, 1, 1)[FLOAT]], [lane_auxi_im.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_784 for ONNX node: node_of_784
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 784 for ONNX tensor: 784
[11/23/2022-20:24:44] [V] [TRT] node_of_784 [Conv] outputs: [784 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_785 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_im.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_im.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_785 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_im.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_im.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_785 for ONNX node: node_of_785
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 785 for ONNX tensor: 785
[11/23/2022-20:24:44] [V] [TRT] node_of_785 [Conv] outputs: [785 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_786 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 785
[11/23/2022-20:24:44] [V] [TRT] node_of_786 [Relu] inputs: [785 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_786 for ONNX node: node_of_786
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 786 for ONNX tensor: 786
[11/23/2022-20:24:44] [V] [TRT] node_of_786 [Relu] outputs: [786 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_787 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 786
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_im.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_im.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_787 [Conv] inputs: [786 -> (1, 64, 88, 168)[FLOAT]], [lane_im.2.weight -> (1, 64, 1, 1)[FLOAT]], [lane_im.2.bias -> (1)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_787 for ONNX node: node_of_787
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 1
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 1, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 787 for ONNX tensor: 787
[11/23/2022-20:24:44] [V] [TRT] node_of_787 [Conv] outputs: [787 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_788 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_category.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_category.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_788 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_category.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_category.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_788 for ONNX node: node_of_788
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 788 for ONNX tensor: 788
[11/23/2022-20:24:44] [V] [TRT] node_of_788 [Conv] outputs: [788 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_789 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 788
[11/23/2022-20:24:44] [V] [TRT] node_of_789 [Relu] inputs: [788 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_789 for ONNX node: node_of_789
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 789 for ONNX tensor: 789
[11/23/2022-20:24:44] [V] [TRT] node_of_789 [Relu] outputs: [789 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_790 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 789
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_category.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_category.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_790 [Conv] inputs: [789 -> (1, 64, 88, 168)[FLOAT]], [lane_category.2.weight -> (7, 64, 1, 1)[FLOAT]], [lane_category.2.bias -> (7)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_790 for ONNX node: node_of_790
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 7
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 7, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 790 for ONNX tensor: 790
[11/23/2022-20:24:44] [V] [TRT] node_of_790 [Conv] outputs: [790 -> (1, 7, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_791 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 721
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_color.0.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_color.0.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_791 [Conv] inputs: [721 -> (1, 24, 88, 168)[FLOAT]], [lane_color.0.weight -> (64, 24, 3, 3)[FLOAT]], [lane_color.0.bias -> (64)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 24, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_791 for ONNX node: node_of_791
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (3, 3), strides: (1, 1), prepadding: (1, 1), postpadding: (1, 1), dilations: (1, 1), numOutputs: 64
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 791 for ONNX tensor: 791
[11/23/2022-20:24:44] [V] [TRT] node_of_791 [Conv] outputs: [791 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_792 [Relu]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 791
[11/23/2022-20:24:44] [V] [TRT] node_of_792 [Relu] inputs: [791 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_792 for ONNX node: node_of_792
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 792 for ONNX tensor: 792
[11/23/2022-20:24:44] [V] [TRT] node_of_792 [Relu] outputs: [792 -> (1, 64, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_793 [Conv]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 792
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_color.2.weight
[11/23/2022-20:24:44] [V] [TRT] Searching for input: lane_color.2.bias
[11/23/2022-20:24:44] [V] [TRT] node_of_793 [Conv] inputs: [792 -> (1, 64, 88, 168)[FLOAT]], [lane_color.2.weight -> (5, 64, 1, 1)[FLOAT]], [lane_color.2.bias -> (5)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Convolution input dimensions: (1, 64, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_793 for ONNX node: node_of_793
[11/23/2022-20:24:44] [V] [TRT] Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 5
[11/23/2022-20:24:44] [V] [TRT] Convolution output dimensions: (1, 5, 88, 168)
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 793 for ONNX tensor: 793
[11/23/2022-20:24:44] [V] [TRT] node_of_793 [Conv] outputs: [793 -> (1, 5, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_794 [MaxPool]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 730
[11/23/2022-20:24:44] [V] [TRT] node_of_794 [MaxPool] inputs: [730 -> (1, 16, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_794 for ONNX node: node_of_794
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 794 for ONNX tensor: 794
[11/23/2022-20:24:44] [V] [TRT] node_of_794 [MaxPool] outputs: [794 -> (1, 16, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_795 [MaxPool]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 787
[11/23/2022-20:24:44] [V] [TRT] node_of_795 [MaxPool] inputs: [787 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_795 for ONNX node: node_of_795
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: 795 for ONNX tensor: 795
[11/23/2022-20:24:44] [V] [TRT] node_of_795 [MaxPool] outputs: [795 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_head_2d [Concat]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 724
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 727
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 730
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 733
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 736
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 739
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 742
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 794
[11/23/2022-20:24:44] [V] [TRT] node_of_head_2d [Concat] inputs: [724 -> (1, 2, 88, 168)[FLOAT]], [727 -> (1, 2, 88, 168)[FLOAT]], [730 -> (1, 16, 88, 168)[FLOAT]], [733 -> (1, 2, 88, 168)[FLOAT]], [736 -> (1, 2, 88, 168)[FLOAT]], [739 -> (1, 1, 88, 168)[FLOAT]], [742 -> (1, 2, 88, 168)[FLOAT]], [794 -> (1, 16, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_head_2d for ONNX node: node_of_head_2d
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: head_2d_200 for ONNX tensor: head_2d
[11/23/2022-20:24:44] [V] [TRT] node_of_head_2d [Concat] outputs: [head_2d -> (1, 43, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_head_3d [Concat]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 745
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 748
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 751
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 754
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 757
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 760
[11/23/2022-20:24:44] [V] [TRT] node_of_head_3d [Concat] inputs: [745 -> (1, 24, 88, 168)[FLOAT]], [748 -> (1, 3, 88, 168)[FLOAT]], [751 -> (1, 1, 88, 168)[FLOAT]], [754 -> (1, 2, 88, 168)[FLOAT]], [757 -> (1, 1, 88, 168)[FLOAT]], [760 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_head_3d for ONNX node: node_of_head_3d
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: head_3d_201 for ONNX tensor: head_3d
[11/23/2022-20:24:44] [V] [TRT] node_of_head_3d [Concat] outputs: [head_3d -> (1, 32, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_head_gcp [Concat]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 763
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 766
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 769
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 772
[11/23/2022-20:24:44] [V] [TRT] node_of_head_gcp [Concat] inputs: [763 -> (1, 2, 88, 168)[FLOAT]], [766 -> (1, 8, 88, 168)[FLOAT]], [769 -> (1, 2, 88, 168)[FLOAT]], [772 -> (1, 4, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_head_gcp for ONNX node: node_of_head_gcp
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: head_gcp_202 for ONNX tensor: head_gcp
[11/23/2022-20:24:44] [V] [TRT] node_of_head_gcp [Concat] outputs: [head_gcp -> (1, 16, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Parsing node: node_of_head_lane [Concat]
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 775
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 778
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 781
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 784
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 787
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 790
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 793
[11/23/2022-20:24:44] [V] [TRT] Searching for input: 795
[11/23/2022-20:24:44] [V] [TRT] node_of_head_lane [Concat] inputs: [775 -> (1, 3, 88, 168)[FLOAT]], [778 -> (1, 2, 88, 168)[FLOAT]], [781 -> (1, 1, 88, 168)[FLOAT]], [784 -> (1, 1, 88, 168)[FLOAT]], [787 -> (1, 1, 88, 168)[FLOAT]], [790 -> (1, 7, 88, 168)[FLOAT]], [793 -> (1, 5, 88, 168)[FLOAT]], [795 -> (1, 1, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Registering layer: node_of_head_lane for ONNX node: node_of_head_lane
[11/23/2022-20:24:44] [V] [TRT] Registering tensor: head_lane_203 for ONNX tensor: head_lane
[11/23/2022-20:24:44] [V] [TRT] node_of_head_lane [Concat] outputs: [head_lane -> (1, 21, 88, 168)[FLOAT]], 
[11/23/2022-20:24:44] [V] [TRT] Marking head_2d_200 as output: head_2d
[11/23/2022-20:24:44] [V] [TRT] Marking head_3d_201 as output: head_3d
[11/23/2022-20:24:44] [V] [TRT] Marking head_gcp_202 as output: head_gcp
[11/23/2022-20:24:44] [V] [TRT] Marking head_lane_203 as output: head_lane
[11/23/2022-20:24:44] [I] Finish parsing network model
[11/23/2022-20:24:44] [W] [TRT] Layer 'm': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_509': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_660: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_660': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_668: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_668': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_676: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_676': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_684: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_684': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_692: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_692': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_700: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_700': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_708: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_708': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_716: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_716': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [W] [TRT] node_of_717: DLA cores do not support more than 1 groups.
[11/23/2022-20:24:44] [W] [TRT] Layer 'node_of_717': Unsupported on DLA. Switching this layer's device type to GPU.
[11/23/2022-20:24:44] [V] [TRT] Applying generic optimizations to the graph for inference.
[11/23/2022-20:24:44] [V] [TRT] Original: 292 layers
[11/23/2022-20:24:44] [V] [TRT] After dead-layer removal: 292 layers
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_511
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_511 with node_of_512
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_514
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_514 with node_of_515
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_517
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_517 with node_of_518
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_519
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_519 with node_of_520
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_522
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_522 with node_of_523
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_525
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_525 with node_of_526
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_527
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_527 with node_of_528
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_530
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_530 with node_of_531
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_533
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_533 with node_of_534
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_536
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_536 with node_of_537
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_539
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_539 with node_of_540
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_542
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_542 with node_of_543
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_544
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_544 with node_of_545
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_547
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_547 with node_of_548
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_550
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_550 with node_of_551
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_553
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_553 with node_of_554
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_556
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_556 with node_of_557
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_559
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_559 with node_of_560
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_562
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_562 with node_of_563
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_565
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_565 with node_of_566
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_568
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_568 with node_of_569
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_570
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_570 with node_of_571
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_573
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_573 with node_of_574
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_576
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_576 with node_of_577
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_579
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_579 with node_of_580
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_582
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_582 with node_of_583
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_585
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_585 with node_of_586
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_588
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_588 with node_of_589
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_591
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_591 with node_of_592
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_594
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_594 with node_of_595
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_597
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_597 with node_of_598
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_600
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_600 with node_of_601
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_603
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_603 with node_of_604
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_605
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_605 with node_of_606
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_608
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_608 with node_of_609
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_611
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_611 with node_of_612
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_614
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_614 with node_of_615
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_617
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_617 with node_of_618
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_620
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_620 with node_of_621
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_623
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_623 with node_of_624
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_626
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_626 with node_of_627
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_629
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_629 with node_of_630
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_631
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_631 with node_of_632
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_634
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_634 with node_of_635
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_637
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_637 with node_of_638
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_640
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_640 with node_of_641
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_643
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_643 with node_of_644
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_646
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_646 with node_of_647
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_649
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_649 with node_of_650
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_652
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_652 with node_of_653
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_655
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_655 with node_of_656
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_657
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_657 with node_of_658
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_662
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_662 with node_of_663
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_665
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_665 with node_of_666
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_670
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_670 with node_of_671
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_673
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_673 with node_of_674
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_678
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_678 with node_of_679
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_681
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_681 with node_of_682
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_686
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_686 with node_of_687
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_689
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_689 with node_of_690
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_694
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_694 with node_of_695
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_697
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_697 with node_of_698
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_702
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_702 with node_of_703
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_705
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_705 with node_of_706
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_710
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_710 with node_of_711
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_713
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_713 with node_of_714
[11/23/2022-20:24:44] [V] [TRT] Running: ConvScaleFusion on node_of_719
[11/23/2022-20:24:44] [V] [TRT] ConvScaleFusion: Fusing node_of_719 with node_of_720
[11/23/2022-20:24:44] [V] [TRT] After Myelin optimization: 225 layers
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_510...node_of_659]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.5 MiB,	Local DRAM = 64 MiB,	Global DRAM = 16 MiB
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_685...node_of_744]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.25 MiB,	Local DRAM = 8 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_745...node_of_780]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.125 MiB,	Local DRAM = 8 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_669...node_of_715]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.0625 MiB,	Local DRAM = 4 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_781...node_of_794]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.03125 MiB,	Local DRAM = 8 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:45] [V] [TRT] {ForeignNode[node_of_661...node_of_675]} successfully offloaded to DLA.
[11/23/2022-20:24:45] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:45] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:45] [V] [TRT] 	Required: Managed SRAM = 0.015625 MiB,	Local DRAM = 4 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:46] [V] [TRT] {ForeignNode[node_of_head_gcp...node_of_head_lane]} successfully offloaded to DLA.
[11/23/2022-20:24:46] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:46] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:46] [V] [TRT] 	Required: Managed SRAM = 0.0078125 MiB,	Local DRAM = 16 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:46] [V] [TRT] {ForeignNode[node_of_795]} successfully offloaded to DLA.
[11/23/2022-20:24:46] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:46] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:46] [V] [TRT] 	Required: Managed SRAM = 0.00390625 MiB,	Local DRAM = 4 MiB,	Global DRAM = 2 MiB
[11/23/2022-20:24:46] [V] [TRT] {ForeignNode[node_of_head_2d]} successfully offloaded to DLA.
[11/23/2022-20:24:46] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:46] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:46] [V] [TRT] 	Required: Managed SRAM = 0 MiB,	Local DRAM = 16 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:46] [V] [TRT] {ForeignNode[node_of_head_3d]} successfully offloaded to DLA.
[11/23/2022-20:24:46] [V] [TRT] Memory consumption details:
[11/23/2022-20:24:46] [V] [TRT] 	Pool Sizes: Managed SRAM = 0.5 MiB,	Local DRAM = 1024 MiB,	Global DRAM = 512 MiB
[11/23/2022-20:24:46] [V] [TRT] 	Required: Managed SRAM = 0 MiB,	Local DRAM = 16 MiB,	Global DRAM = 4 MiB
[11/23/2022-20:24:46] [V] [TRT] DLA Memory Consumption Summary:
[11/23/2022-20:24:46] [V] [TRT] 	Number of DLA node candidates offloaded : 10 out of 10
[11/23/2022-20:24:46] [V] [TRT] 	Total memory required by accepted candidates : Managed SRAM = 0.99609375 MiB,	Local DRAM = 148 MiB,	Global DRAM = 50 MiB
[11/23/2022-20:24:46] [V] [TRT] After DLA optimization: 26 layers
[11/23/2022-20:24:46] [V] [TRT] Applying ScaleNodes fusions.
[11/23/2022-20:24:46] [V] [TRT] After scale fusion: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After dupe layer removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After final dead-layer removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After tensor merging: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After vertical fusions: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After dupe layer removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After final dead-layer removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After tensor merging: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After slice removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] After concat removal: 26 layers
[11/23/2022-20:24:46] [V] [TRT] Trying to split Reshape and strided tensor
[11/23/2022-20:24:46] [V] [TRT] Graph construction and optimization completed in 1.72052 seconds.
[11/23/2022-20:24:46] [I] [TRT] ---------- Layers Running on DLA ----------
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_510...node_of_659]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_661...node_of_675]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_669...node_of_715]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_685...node_of_744]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_745...node_of_780]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_781...node_of_794]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_795]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_head_2d]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_head_3d]}
[11/23/2022-20:24:46] [I] [TRT] [DlaLayer] {ForeignNode[node_of_head_gcp...node_of_head_lane]}
[11/23/2022-20:24:46] [I] [TRT] ---------- Layers Running on GPU ----------
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] CONSTANT: m
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] CAST: node_of_509
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_660
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_668
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_676
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_684
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_692
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_700
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_708
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_716
[11/23/2022-20:24:46] [I] [TRT] [GpuLayer] DECONVOLUTION: node_of_717
[11/23/2022-20:24:46] [V] [TRT] Using cublasLt as a tactic source
[11/23/2022-20:24:46] [I] [TRT] [MemUsageChange] Init cuBLAS/cuBLASLt: CPU +534, GPU +626, now: CPU 1168, GPU 8689 (MiB)
[11/23/2022-20:24:46] [V] [TRT] Using cuDNN as a tactic source
[11/23/2022-20:24:47] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +86, GPU +133, now: CPU 1254, GPU 8822 (MiB)
[11/23/2022-20:24:47] [I] [TRT] Local timing cache in use. Profiling results in this builder pass will not be stored.
[11/23/2022-20:24:47] [V] [TRT] Constructing optimization profile number 0 [1/1].
[11/23/2022-20:24:47] [V] [TRT] Reserving memory for host IO tensors. Host: 0 bytes
[11/23/2022-20:24:47] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0276495
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0686263
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0282872
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0276495
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0970857
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0655497
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0967017
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0655497
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.63013
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.598816
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.63042
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.598816
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.155342
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.124059
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.154359
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.124059
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0152315
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0262011
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0345435
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0152315
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.03056
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0731383
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0175903
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0175903
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.11715
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.066816
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0464297
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0464297
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.234798
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.125851
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.233426
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.125851
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.226912
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.125925
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0833669
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0833669
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0268183
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.584553
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.02696
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0268183
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.087024
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.574222
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0838423
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0838423
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.63579
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.574967
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.64229
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.574967
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.305755
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.07366
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.308768
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.305755
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.027085
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.274555
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0267055
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0267055
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.030112
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.038864
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0301531
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.030112
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.110768
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294706
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.111803
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.110768
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.227653
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.29499
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.227113
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.227113
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.604823
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.50997
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.556795
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.556795
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.045464
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.583346
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.047632
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.045464
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0390377
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.561189
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0381577
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0381577
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66361
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.576887
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66583
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.576887
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.348603
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.07157
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.348919
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.348603
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0375463
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.273637
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0360114
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0360114
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.046544
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0423771
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0603246
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0423771
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.139797
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294715
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.139323
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.139323
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.25557
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294921
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.252366
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.252366
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.673435
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.50116
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.681838
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.673435
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.139559
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.581513
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.135945
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.135945
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0630141
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.558222
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.062813
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.062813
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.145934
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.572672
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.149673
[11/23/2022-20:24:47] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.145934
[11/23/2022-20:24:47] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:47] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:47] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.423177
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.05271
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.431534
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.423177
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.1216
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.276283
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.109995
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.109995
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.122377
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.062403
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.122366
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.062403
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.172635
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.296114
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.172512
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.172512
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.302085
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.295648
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.306053
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.295648
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.760329
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.52306
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.773042
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.760329
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.055773
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 1.1461
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0554712
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0554712
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0563855
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 3.96933
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0563215
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0563215
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.136123
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.06274
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.134448
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.134448
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66294
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 36.1762
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.64206
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 5.64206
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0509806
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.53669
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.051267
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0509806
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0627063
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.43692
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0644968
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0627063
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.159575
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.47371
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.159666
[11/23/2022-20:24:48] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.159575
[11/23/2022-20:24:48] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:48] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:48] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.283035
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.46561
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.282222
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.282222
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.278981
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.576082
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.277239
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.277239
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0153911
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0260792
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0336539
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0153911
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0281135
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.268101
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0282423
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0281135
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0690362
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.278843
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0715931
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0690362
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.60253
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.246071
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.60134
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.246071
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.134818
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.551662
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.135909
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.134818
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0287177
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0306843
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.017635
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.017635
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0947749
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0630095
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0454263
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0454263
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.210775
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0959749
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.209879
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0959749
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.207977
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.120462
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0829051
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0829051
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0310363
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.267931
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0159263
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0159263
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0322487
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.275067
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0324434
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0322487
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0703528
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.287657
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0675048
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0675048
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.59963
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.263506
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.60204
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.263506
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.280814
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.32936
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.280242
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.280242
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0287589
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.828037
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158162
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0158162
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.100295
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.292503
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.04144
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.04144
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.209161
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.293906
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.209499
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.209161
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:2,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.540603
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.28117
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.511424
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.511424
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0469131
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.272265
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0365234
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0365234
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0377486
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.284923
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0392846
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0377486
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.112091
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.303826
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.11424
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.112091
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.6358
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.292489
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.64134
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.292489
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.345925
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.33676
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.346121
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.345925
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.039904
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.842464
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0297371
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0297371
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0614095
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.282811
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0297198
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0297198
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.254345
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294999
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.257714
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.254345
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:8,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.603145
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.36683
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.636014
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.603145
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0950606
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.273861
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.094592
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.094592
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0559604
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.286962
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0555566
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0555566
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.140066
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.305819
[11/23/2022-20:24:49] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.138313
[11/23/2022-20:24:49] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.138313
[11/23/2022-20:24:49] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:49] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.70213
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.295241
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.70146
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.295241
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.393778
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.38454
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.393134
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.393134
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0917874
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.847264
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0917829
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0917829
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.114265
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.284727
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.114391
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.114265
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.158514
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.295895
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.159698
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.158514
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(236544,1:16,672,1) -> Half(1:8,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.690258
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.39595
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.689403
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.689403
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0559238
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.536992
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0590019
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0559238
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0557531
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.33526
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0557851
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0557531
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.14269
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.36478
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.141758
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.141758
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66727
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.36798
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66639
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 5.66639
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.202377
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.601161
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.202085
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.202085
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0512366
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 1.68519
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0547032
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0512366
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Half(236544,236544:2,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0715086
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 12.6105
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0667078
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0667078
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Half(236544,1:8,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.162391
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.35819
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.16208
[11/23/2022-20:24:50] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.16208
[11/23/2022-20:24:50] [V] [TRT] *************** Autotuning Reformat: Half(1:8,236544,672,1) -> Half(236544,1:16,672,1) ***************
[11/23/2022-20:24:50] [V] [TRT] --------------- Timing Runner: Optimizer Reformat((Unnamed Layer* 0) [Constant]_output -> <out>) (Reformat)
[11/23/2022-20:24:50] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.27877
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 13.006
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.27957
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.27877
[11/23/2022-20:24:51] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0322651
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.068515
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.031136
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.031136
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0898606
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0653684
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0928046
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0653684
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.60868
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.597202
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.61073
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.597202
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.152558
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.12397
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.152073
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.12397
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0149975
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.026099
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0342958
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0149975
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.08182
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.125035
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.07523
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.125035
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0261608
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.581582
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0268099
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0261608
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0857828
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.571401
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0827497
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0827497
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.61871
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.572114
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.6172
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.572114
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.304571
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.05341
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.305134
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.304571
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0262331
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.272759
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.026333
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0262331
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.06608
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294071
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.06592
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.294071
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.046248
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.581266
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0484724
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.046248
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0396743
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.558496
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0393543
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0393543
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.63651
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.573842
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.63989
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.573842
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.347703
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.05255
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.344741
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.344741
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0347173
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.271634
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0340398
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0340398
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.07994
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294208
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.13078
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.294208
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.133422
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.581371
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.136942
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.133422
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0630415
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.558578
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0632137
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0630415
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.147831
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.572475
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.147739
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.147739
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.447739
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.05361
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.447982
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.447739
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.121474
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.276288
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.139694
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.121474
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.36681
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.293541
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.34634
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.293541
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.055357
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 1.14923
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0555627
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.055357
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0560472
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003ea Time: 3.97061
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0565349
[11/23/2022-20:24:51] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0560472
[11/23/2022-20:24:51] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:51] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:51] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.14075
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.06129
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.137271
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.137271
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66164
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 36.3206
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66423
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 5.66164
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0511253
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.538345
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0512244
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0511253
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 509) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.1947
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.50931
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.13051
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 1.13051
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(709632,236544,672,1) -> Half(709632,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: i to nvm (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0294939
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0392354
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0523535
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0294939
[11/23/2022-20:24:52] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(709632,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: i to nvm (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.0697
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.126343
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.03175
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.126343
[11/23/2022-20:24:52] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(709632,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(i to nvm -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.06854
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0972686
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.0366
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0972686
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:16,672,1) -> Half(709632,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(i to nvm -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.133913
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.848398
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.134162
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.133913
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(473088,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.03065
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.125509
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.06752
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.125509
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(473088,1,1344,2) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.04683
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.29579
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.05832
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.29579
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(236544,1:4,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.10572
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.29509
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.11373
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.29509
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(236544,236544:32,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.31462
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.295168
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.33141
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.295168
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Float(1:4,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.12319
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.50359
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.11583
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 1.11583
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(473088,236544,672,1) -> Half(236544,236544:16,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 1.03246
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0964914
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.0169
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0964914
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(236544,236544:16,672,1) -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(509 -> <out>) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0915314
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.846638
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0914651
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0914651
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 535) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0741006
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.017471
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0738491
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.017471
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 535) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.023981
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0597196
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0240373
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.023981
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(135168,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 561) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0199989
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109257
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0199669
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109257
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 561) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111652
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0198726
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111286
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111286
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(135168,1408,64,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 622) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0158176
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111103
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.015755
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111103
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(5544,924:16,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 622) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00937372
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108346
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00915657
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00915657
[11/23/2022-20:24:52] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00442764
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.029717
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00542899
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00442764
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00642365
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106704
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00630877
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00630877
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0066319
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106335
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00675429
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0066319
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00432928
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0301696
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00534078
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00432928
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00563218
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109943
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00459786
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00459786
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00643757
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109149
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00524327
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00524327
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(1386,231:16,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0075609
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110034
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00753107
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00753107
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00661236
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110178
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00642266
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00642266
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00626246
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0105466
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00613124
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00613124
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00552
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110407
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00564343
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00552
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00601295
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107073
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00583808
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00583808
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(33792,352,32,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0057483
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010753
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00575488
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0057483
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00588617
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107569
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00589477
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00588617
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00545473
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0105704
[11/23/2022-20:24:52] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00541443
[11/23/2022-20:24:52] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00541443
[11/23/2022-20:24:52] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:52] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00572215
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107131
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00572507
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00572215
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 659) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00565081
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108327
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00563182
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00563182
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00655543
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108532
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00631612
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00631612
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00643876
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109966
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00637714
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00637714
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00442833
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0303113
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00546252
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00442833
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00568651
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109463
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00465681
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00465681
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00656977
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110688
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00522041
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00522041
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,231,21,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00661049
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111247
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0063362
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0063362
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00701562
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113691
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00704588
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00701562
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00551585
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108284
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0056756
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00551585
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00717105
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109479
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00703042
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00703042
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00705546
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109398
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00709268
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00705546
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00571959
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01113
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00584539
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00571959
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,2016,96) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00565679
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110896
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00558699
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00558699
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00710444
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109456
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.007168
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00710444
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00544051
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110864
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00567666
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00544051
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00709225
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110801
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00721806
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00709225
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00718423
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109783
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00714014
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00714014
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00586917
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109636
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00573385
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00573385
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,504,24) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00597371
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010865
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00581285
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00581285
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00534959
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109355
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00529151
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00529151
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00649421
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010577
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00657288
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00649421
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00661465
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108705
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00659657
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00659657
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00543932
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110217
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00539361
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00539361
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00535907
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109904
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00450386
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00450386
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00660052
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107732
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00521045
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00521045
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(33792,352,32,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00672416
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01104
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00659449
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00659449
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0043599
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0299602
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00537668
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0043599
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0065681
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010641
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0064318
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0064318
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00648189
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106746
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0063203
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0063203
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00569371
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110685
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00469441
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00469441
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00653195
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110618
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00537431
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00537431
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(22176,231,21,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00657912
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109642
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00639443
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00639443
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00546184
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107781
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00474322
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00474322
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00552826
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108493
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00562057
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00552826
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00619162
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108986
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00612133
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00612133
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00537007
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112746
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00454043
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00454043
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0057397
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107719
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00466477
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00466477
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,231:2,21,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00564835
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01088
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00568862
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00564835
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00711684
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108036
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00527233
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00527233
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00563393
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108235
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00571666
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00563393
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00595429
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109662
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00598305
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00595429
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00711597
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108457
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00486309
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00486309
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00706307
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108091
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00446514
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00446514
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,252,12) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00568809
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108888
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00573403
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00568809
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00624894
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110021
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00619924
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00619924
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0055207
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010768
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00555886
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0055207
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00590007
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106867
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00585746
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00585746
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00584576
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108575
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00572014
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00572014
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00536195
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106945
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00550207
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00536195
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00572178
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110509
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0057483
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00572178
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,231:16,21,1) -> Half(1386,1:16,126,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00571831
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109633
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00572255
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00571831
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Float(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00714514
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110411
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00713056
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00713056
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Float(22176,1,2016,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00551824
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108702
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0056538
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00551824
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Float(5544,1:4,504,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00586972
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109208
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00580827
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00580827
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Half(22176,231,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00707657
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109257
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00721646
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00707657
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Half(11088,231:2,21,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00706917
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107693
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00726377
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00706917
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1386,1:16,126,6) -> Half(2772,1:8,252,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(659 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00568686
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110787
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00573806
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00568686
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116051
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115091
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116698
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115091
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0118818
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0116346
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0117714
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0116346
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00892585
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112056
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00962103
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00892585
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00641371
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109443
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00970423
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00641371
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00941714
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0119093
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00668634
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00668634
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0117883
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112134
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00742697
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00742697
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0159086
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111838
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158551
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111838
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0118287
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112468
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116962
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112468
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135003
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.012731
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0135169
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.012731
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00955032
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0116585
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00954088
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00954088
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.013504
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107667
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.013521
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0107667
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135784
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115422
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0134379
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115422
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0136
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115759
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.013701
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115759
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00950657
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010895
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00967802
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00950657
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0206309
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108859
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.020623
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108859
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00952829
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110513
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0096704
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00952829
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135019
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0125516
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0135472
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0125516
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00953966
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0116923
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0095811
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00953966
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0136129
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108617
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0136669
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108617
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135269
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111849
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0135173
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111849
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0136644
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011468
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.013642
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011468
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112313
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111764
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111902
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111764
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0203669
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108467
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0204023
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108467
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111951
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108767
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0110667
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108767
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00646122
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110414
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00945429
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00646122
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110572
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108042
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111149
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108042
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112292
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108402
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112636
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108402
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00875671
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111603
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00871314
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00871314
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00915429
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114655
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00674805
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00674805
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111325
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111807
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00741166
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00741166
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0158272
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113273
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158231
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0113273
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110935
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112559
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111029
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0110935
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00947457
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0120122
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00661361
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00661361
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00962682
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109185
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0096829
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00962682
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112731
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108598
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0113238
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108598
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00936314
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110291
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00655522
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00655522
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00910286
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0218919
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00657475
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00657475
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110998
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109192
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00607676
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00607676
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0100279
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110298
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00989013
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00989013
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111385
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108953
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0109789
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108953
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115819
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0117408
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00662545
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00662545
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00955916
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110091
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00961341
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00955916
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111993
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112404
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111589
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111589
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115763
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110414
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00639324
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00639324
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115246
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0216451
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00650493
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00650493
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115727
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115742
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00578469
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00578469
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200217
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110087
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0200029
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110087
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0106171
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106455
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.01064
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0106171
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Float(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115689
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0117827
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114064
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0114064
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00956251
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112717
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00961219
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00956251
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112207
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108728
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112025
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108728
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116178
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110759
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114725
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110759
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(88704,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115407
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0215327
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.011476
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.011476
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115358
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114637
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115713
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114637
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0107308
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108748
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0106658
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0106658
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 660) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0201246
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108526
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0198931
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108526
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00645446
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111255
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00957928
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00645446
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,924,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0158811
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110442
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158263
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110442
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0134853
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112654
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0134196
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112654
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,4032,96) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0206472
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109838
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0209469
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109838
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135668
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114757
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0135377
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114757
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,1008,24) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0205224
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010994
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0203383
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.010994
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(135168,1408,64,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0159101
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0135971
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158441
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0135971
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00642962
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112084
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00551402
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00551402
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(88704,924,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0158025
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111926
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0158395
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111926
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00925372
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0219252
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00661299
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00661299
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(44352,924:2,42,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00984747
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111427
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00990476
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00984747
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114964
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.02157
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00637615
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00637615
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,504,12) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200131
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109505
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0199057
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109505
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,924:16,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00922429
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.021233
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00908914
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00908914
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114194
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0216725
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114792
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0114194
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,1:16,252,6) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(660 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200371
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107948
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0199611
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0107948
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(135168,1408,64,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,924:16,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(135168,1408,64,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(5544,924:16,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00482941
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107122
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00570426
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00482941
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00650182
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107246
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0064006
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0064006
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0066986
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109254
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00643637
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00643637
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00458271
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110495
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00524914
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00458271
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00577353
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112236
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00482682
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00482682
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00657953
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110709
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0048672
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0048672
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00885916
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112443
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00886777
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00885916
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00650203
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110534
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0063684
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0063684
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00663709
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107275
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00646102
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00646102
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00647851
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108284
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00662961
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00647851
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00690765
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107964
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00684452
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00684452
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(45056,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00640994
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107886
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00634455
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00634455
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00631573
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0121295
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00610038
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00610038
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00558558
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111135
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00564976
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00558558
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00664956
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108062
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00647652
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00647652
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 667) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00664374
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108676
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00654213
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00654213
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,924:16,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(45056,1408,64,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00631036
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108372
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00628214
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00628214
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00683037
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108963
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00635528
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00635528
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00473821
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110622
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00602971
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00473821
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00637337
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110716
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00482194
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00482194
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00675242
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010914
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0048672
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0048672
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00657184
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110432
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00629545
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00629545
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00775026
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111504
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00773053
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00773053
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0065361
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109427
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00625471
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00625471
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0077363
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110671
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0078169
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0077363
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00769059
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110435
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00779116
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00769059
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00638231
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109469
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00629565
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00629565
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00643796
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112531
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00627856
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00627856
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00772764
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011059
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00773293
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00772764
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0065573
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110467
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00647791
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00647791
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00774641
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107961
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0076954
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0076954
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00771777
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01113
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0076942
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0076942
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00685867
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111807
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0066961
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0066961
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00680359
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112341
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00679439
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00679439
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0056269
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110646
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00571941
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0056269
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00675823
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107866
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0067468
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0067468
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00687499
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109897
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00678899
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00678899
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00544999
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111318
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00553336
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00544999
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00592055
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110716
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00489143
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00489143
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00672686
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112661
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0048419
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0048419
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00673081
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110861
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0067921
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00673081
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00486171
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010719
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00572325
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00486171
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00640994
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109316
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00631911
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00631911
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00660177
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108219
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00656104
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00656104
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00582272
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113888
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00487086
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00487086
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00658494
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111223
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00478232
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00478232
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00660904
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111353
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00635091
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00635091
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00633322
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010942
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00475458
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00475458
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00644154
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108568
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00652634
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00644154
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00682993
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110569
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00667179
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00667179
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00589605
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0129131
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00472656
[11/23/2022-20:24:53] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00472656
[11/23/2022-20:24:53] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:53] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00673808
[11/23/2022-20:24:53] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010783
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00445534
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00445534
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00688566
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110182
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00664208
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00664208
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00664021
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010943
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00459386
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00459386
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00663003
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110368
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00646798
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00646798
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00681295
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010959
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00684582
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00681295
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0065039
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0127006
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00463528
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00463528
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00663958
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110105
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00447614
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00447614
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00676094
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110291
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00658556
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00658556
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00653964
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108738
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00638549
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00638549
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00662608
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010913
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0065494
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0065494
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00684909
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110657
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00683037
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00683037
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00644532
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0122632
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00639424
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00639424
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00550172
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106776
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00579639
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00550172
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00667844
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109329
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00662982
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00662982
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00672187
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110432
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00658805
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00658805
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00668197
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110484
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00660218
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00660218
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00658909
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011232
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00643935
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00643935
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00680512
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108598
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00664707
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00664707
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0065361
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0126937
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00643876
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00643876
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00662504
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010962
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00663023
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00662504
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(667 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00670525
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011091
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00665932
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00665932
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111367
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.016642
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111061
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111061
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114732
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0166293
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115182
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0114732
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00964053
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112429
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116462
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00964053
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0069009
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109616
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115566
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0069009
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0113034
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0122952
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00742469
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00742469
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011673
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110759
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00696207
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00696207
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200874
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010897
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.020008
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.010897
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115348
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110917
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115858
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110917
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0156823
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.016994
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.015723
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0156823
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114416
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0158482
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114824
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0114416
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157202
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107827
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157262
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0107827
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157221
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011558
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0155954
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011558
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157385
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0123181
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157289
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0123181
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115422
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111153
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114381
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111153
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0261851
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111051
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0262164
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111051
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114201
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112837
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114859
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112837
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.015739
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0171393
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157435
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.015739
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011501
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0159116
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114873
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0114873
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0158048
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010865
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157431
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.010865
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157518
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115727
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157198
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115727
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157984
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0123029
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157792
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0123029
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.013393
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113034
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0133602
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0113034
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0258773
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112091
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0256648
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112091
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0134732
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114335
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0133943
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114335
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00713165
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112443
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114564
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00713165
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112074
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109603
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112309
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109603
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011501
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111916
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116051
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111916
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00954118
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112447
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00966552
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00954118
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111307
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111669
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00742674
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00742674
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114272
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112091
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00696425
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00696425
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200394
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111381
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0199166
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111381
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114581
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112862
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0113734
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112862
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0114194
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0120629
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00710509
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00710509
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115742
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109032
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115432
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109032
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0134832
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108793
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0133432
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108793
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110984
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0206772
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00720823
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00720823
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110899
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0253326
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00706917
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00706917
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0118488
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108679
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00574318
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00574318
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0117778
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108565
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0117025
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108565
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011931
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109466
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0118513
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109466
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115239
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0118484
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00645645
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00645645
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115531
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011168
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114641
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011168
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135389
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109724
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0134599
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109724
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.01122
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0202389
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00535111
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00535111
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112179
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237309
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00535331
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00535331
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115675
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0121596
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0053694
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0053694
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0220258
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111993
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0220846
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111993
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011984
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111153
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0119128
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111153
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115165
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0117591
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115091
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0115091
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011532
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109799
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115077
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109799
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0135539
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111441
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0135144
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111441
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112253
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0200629
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112116
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0112116
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111803
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237166
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112513
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0111803
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116765
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0120701
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116086
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0116086
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0119669
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108947
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0117908
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108947
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 668) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0221277
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110885
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0220016
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110885
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1,1344,32) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(7392,1:4,336,8) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(45056,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(29568,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,924:2,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(3696,1:8,168,4) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(29568,1,1344,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(7392,1:4,336,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(29568,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(14784,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(3696,1:8,168,4) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00678483
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111156
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115678
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00678483
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200423
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011008
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0200817
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011008
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0156946
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0118066
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157024
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0118066
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0261013
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011193
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0260076
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011193
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0157728
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114964
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0157303
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114964
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0257768
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111669
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0257531
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111669
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(135168,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200663
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114229
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.02006
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114229
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00678608
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111188
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00557908
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00557908
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0200709
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011252
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0199451
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011252
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110569
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.025203
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00713339
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00713339
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0117728
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108327
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116955
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108327
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112443
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0238028
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00548131
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00548131
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0220696
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114796
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0220944
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0114796
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111349
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0223308
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111321
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111321
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111916
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237303
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112091
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0111916
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(668 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.022142
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112598
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0220506
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112598
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(135168,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(118272,1,2688,32) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(29568,1:4,672,8) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(135168,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(118272,3696,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(59136,3696:2,84,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(14784,1:8,336,4) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(135168,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(135168,1408,64,1) -> Half(5544,924:16,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(5544,924:16,42,1) -> Half(135168,1408,64,1) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00642405
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110523
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00948943
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00642405
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00922571
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010722
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00914771
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00914771
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00965821
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110449
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0096896
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00965821
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00620152
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112088
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0056582
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0056582
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.009058
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112091
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00675533
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00675533
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00948486
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115488
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00692767
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00692767
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0221238
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111968
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0223014
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111968
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111145
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011129
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0110463
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0110463
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00954941
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108986
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00952716
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00952716
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0095744
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109901
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00964785
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0095744
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112767
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111012
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112193
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111012
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(101376,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00938857
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0201971
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00930143
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00930143
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00929886
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.019536
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00917429
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00917429
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00703935
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111863
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00710596
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00703935
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0107086
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111947
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.010688
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.010688
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 683) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115063
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108539
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115095
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108539
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(101376,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(101376,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,3696:16,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(101376,4224,96,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00445548
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110351
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00543628
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00445548
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00559947
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010751
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00573659
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00559947
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00549401
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110477
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00576018
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00549401
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00450371
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110249
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00527804
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00450371
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00560176
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110956
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00470695
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00470695
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00555376
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011476
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0047677
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0047677
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(1848,924:16,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00924714
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111564
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00913314
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00913314
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00553653
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109894
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00568264
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00553653
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00593554
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01061
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00581083
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00581083
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00543052
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108715
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00554971
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00543052
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00591634
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109273
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00580242
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00580242
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(33792,1408,64,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00568774
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106808
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00557767
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00557767
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00571165
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112974
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00580297
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00571165
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00553336
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106808
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00550523
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00550523
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00565398
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010753
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00565943
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00565398
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 715) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00612476
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106991
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.006024
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.006024
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00909886
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0162149
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00905714
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00905714
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00956495
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0161747
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00966156
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00956495
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00644671
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110287
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00955611
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00644671
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00940114
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112158
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00667969
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00667969
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00953813
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108327
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00682297
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00682297
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112183
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108604
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112672
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108604
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112134
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0161681
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112394
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0112134
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00966461
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0158089
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00956556
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00956556
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112063
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108728
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112306
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108728
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112911
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011239
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112429
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011239
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00952655
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109433
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00954484
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00952655
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111293
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109143
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111669
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109143
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112542
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0164815
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111529
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111529
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00954971
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0158258
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00954728
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00954728
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112746
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109897
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112334
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0109897
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0113403
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112288
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0113857
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0112288
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111497
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110864
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112063
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110864
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116631
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110361
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0116631
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110361
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00907657
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110752
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.009512
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00907657
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00936857
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108509
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00947743
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00936857
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00967375
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108993
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00966248
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00966248
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0087844
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110952
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00871852
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00871852
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00923
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115858
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00666992
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00666992
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00953874
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112239
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00691265
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00691265
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111286
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110699
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.011148
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110699
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00662026
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110861
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00946971
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00662026
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00923143
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0106247
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00913286
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00913286
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00958811
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107657
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00962865
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00958811
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00924771
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011258
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00668779
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00668779
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00947114
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111121
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00684931
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00684931
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0110593
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112879
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.010894
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.010894
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00953051
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111764
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00654088
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00654088
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00956952
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108366
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00958781
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00956952
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112309
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110808
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111743
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110808
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00917029
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0216229
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00654649
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00654649
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0104493
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110048
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00546336
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00546336
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115038
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110252
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115706
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110252
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00951114
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109544
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00585509
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00585509
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00956191
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108539
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00956617
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00956191
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011207
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111497
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112148
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111497
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00925143
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0198583
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00539192
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00539192
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00962621
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011213
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00530895
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00530895
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011437
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010928
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0115664
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.010928
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00953966
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110987
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00956861
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00953966
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00958324
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108578
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00962194
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00958324
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0112538
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110446
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112025
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0110446
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00920314
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0195194
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00906343
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00906343
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00698754
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112798
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00708637
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00698754
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0108849
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111476
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0105966
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0105966
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115404
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108264
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0114947
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0108264
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00956495
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110273
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00955429
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00955429
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00955337
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109721
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0095936
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00955337
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111905
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111585
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112798
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111585
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00938686
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0201297
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00942257
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00938686
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00972891
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112387
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00971398
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00971398
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(683 -> <out>) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0106341
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110671
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0108575
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0106341
[11/23/2022-20:24:54] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.029301
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0449851
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0297829
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.029301
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0313362
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0454114
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0304366
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0304366
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0220271
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0135335
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0267048
[11/23/2022-20:24:54] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0135335
[11/23/2022-20:24:54] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:54] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116828
[11/23/2022-20:24:54] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0213682
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0268556
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0116828
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0242979
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0238834
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.013797
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.013797
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0307538
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237055
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0140164
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0140164
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0742331
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0214433
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0744503
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0214433
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0347392
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0202011
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0349687
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0202011
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0305792
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0452594
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0306706
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0305792
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.025216
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0452674
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.025408
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.025216
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0309769
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0239383
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0311104
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0239383
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0304027
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0235729
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0301595
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0235729
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0299666
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0239855
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0302153
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0239855
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.024611
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0238362
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0249882
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0238362
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.086544
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0208542
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0863246
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0208542
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0297381
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0204911
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0304347
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0204911
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0307584
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0447486
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0306487
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0306487
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0251162
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0442914
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0249737
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0249737
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0311104
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237891
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.031147
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0237891
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0303543
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0231784
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0304622
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0231784
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.030635
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0239063
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0303515
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0239063
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0286345
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237786
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0292187
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0237786
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.086464
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0205146
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0867657
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0205146
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0344713
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0204656
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0344768
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0204656
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0127928
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0213355
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0264282
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0127928
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0232516
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0230008
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0232235
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0230008
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.025853
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0230302
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0255307
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0230302
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0201149
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0135825
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0201789
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0135825
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0222367
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0196074
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0136877
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0136877
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.024307
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0177798
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0137945
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0137945
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0734949
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0173003
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0733234
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0173003
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0285333
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0168533
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0285516
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0168533
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0243627
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0228552
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0132842
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0132842
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0254484
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0232836
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0258263
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0232836
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0294098
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0231713
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0296219
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0231713
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0228153
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.06016
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0134658
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0134658
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0221786
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0614278
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0133897
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0133897
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0281646
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.023744
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00943143
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00943143
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0534049
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0202297
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0529402
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0202297
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0324517
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0201714
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0326007
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0201714
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0253592
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0228937
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.010288
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.010288
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0252282
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0232026
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.025453
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0232026
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0295397
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0233012
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0296101
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0233012
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0231229
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0597516
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.009416
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.009416
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0226266
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0595215
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00934343
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00934343
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0266644
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0239109
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00914829
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00914829
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0796869
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.021489
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0794971
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.021489
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0325275
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0213825
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0325239
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0213825
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0260952
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0226749
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0261516
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0226749
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0255985
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0233117
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.025149
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0233117
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0297362
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0233691
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0296521
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0233691
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0233789
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0597989
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0233868
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0233789
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0235043
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0596632
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0233685
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0233685
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0262011
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.023904
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0260274
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.023904
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.028301
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0238426
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0282278
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0238426
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 684) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.081456
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0211944
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0811931
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0211944
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(101376,4224,96,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,3696:16,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00564325
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109293
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00582857
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00564325
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00546066
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109032
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00568334
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00546066
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00461021
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110664
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00550294
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00461021
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00556782
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110833
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00478019
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00478019
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00579456
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011072
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00474057
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00474057
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00570163
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110484
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00578853
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00570163
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00687891
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109753
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00675616
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00675616
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00548453
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108562
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00560949
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00548453
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00675158
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01099
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00681992
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00675158
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00672395
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108467
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00687891
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00672395
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00545473
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109113
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00562004
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00545473
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1,1008,24) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00572087
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111156
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00582784
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00572087
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00683298
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111817
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00678566
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00678566
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00562708
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109149
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00562321
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00562321
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00682057
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109123
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00684691
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00682057
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00690503
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110963
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00708767
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00690503
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00608457
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110154
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00591159
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00591159
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(5544,1:4,252,6) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00629525
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011124
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00631493
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00629525
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00534586
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110875
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00538125
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00534586
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00563235
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109407
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00565187
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00563235
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00589275
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108209
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00598114
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00589275
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00532707
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110797
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00545016
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00532707
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00539953
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110337
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.004473
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.004473
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00583058
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111079
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00487223
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00487223
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,1408,64,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00588965
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011245
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00593207
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00588965
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00455114
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109182
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00544948
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00455114
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00544288
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110952
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00559965
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00544288
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00559367
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010926
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00564325
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00559367
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00549299
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111029
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00455943
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00455943
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00563815
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110084
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00473276
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00473276
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(22176,924,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00555534
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110358
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00567473
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00555534
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00545896
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107922
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00469736
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00469736
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00559086
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109678
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00565785
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00559086
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00581614
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011015
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00591196
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00581614
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00551455
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113065
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00468321
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00468321
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00569213
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00442113
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00442113
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,924:2,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00610457
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108509
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00602609
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00602609
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00590171
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011033
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00451329
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00451329
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00565538
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110513
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00565591
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00565538
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00584594
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110692
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00598229
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00584594
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0056429
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0113575
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00465268
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00465268
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00577371
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108284
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00452371
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00452371
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(2772,1:8,126,3) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00603867
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0108849
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00603067
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00603067
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00583643
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011117
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00589074
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00583643
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00553899
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107589
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00559877
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00553899
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00587831
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110861
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00582162
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00582162
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00566171
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0112781
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00571977
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00566171
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0055847
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0110168
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00556062
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00556062
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00570039
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107135
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00566136
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00566136
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,924:16,42,1) -> Half(1848,1:16,84,2) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00617429
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107167
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00616286
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00616286
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00647434
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0107624
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00639106
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00639106
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(22176,1,1008,24) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00560932
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109626
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0056225
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00560932
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Float(5544,1:4,252,6) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00580059
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.010913
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00592256
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00580059
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(22176,924,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00592475
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0114666
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00597067
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00592475
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(11088,924:2,42,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00632209
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111005
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00627598
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00627598
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1848,1:16,84,2) -> Half(2772,1:8,126,3) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(715 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00562303
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0109597
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00583387
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00562303
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1,2016,24) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(22176,1:4,504,6) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(88704,3696,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,3696:2,84,1) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(11088,1:8,252,3) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(7392,1:16,168,2) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0116733
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0214727
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0266225
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0116733
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.074352
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0209665
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0743634
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0209665
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0303186
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0236924
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0302162
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0236924
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.086832
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0210723
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0869326
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0210723
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0303296
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0237943
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0303899
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0237943
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0866834
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0207491
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0873371
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0207491
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0740229
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0238217
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0742926
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0238217
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0115211
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0174121
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00731246
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00731246
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0740343
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0173501
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0740731
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0173501
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0222282
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0618545
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0134321
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0134321
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0534095
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0207693
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0534705
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0207693
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0227311
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0599299
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00931914
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00931914
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0796434
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0214707
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0797691
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0214707
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0225169
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0584762
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0224601
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0224601
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0233907
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0597455
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0234939
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0233907
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(684 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0817143
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0215713
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0820137
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0215713
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(354816,1,4032,24) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Float(88704,1:4,1008,6) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(354816,14784,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(177408,14784:2,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,1:8,504,3) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,1:16,336,2) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 724) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0514164
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115777
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0514392
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115777
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 724) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00662857
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0608655
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00658618
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00658618
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 730) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0345975
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.011987
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0345966
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.011987
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 730) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.017892
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0592975
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0176681
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0176681
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 739) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0525699
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0119067
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0528152
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0119067
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 739) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00538006
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0609905
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00550101
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00538006
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1081344,16896,192,1) -> Half(59136,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 744) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.121662
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0310674
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.122107
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0310674
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(59136,14784:16,168,1) -> Half(1081344,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 744) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0546682
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0552655
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.055203
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0546682
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1081344,16896,192,1) -> Half(59136,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(744 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.126283
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0417051
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.124738
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0417051
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(59136,14784:16,168,1) -> Half(1081344,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(744 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0537798
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.138267
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0541257
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0537798
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(50688,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 748) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0503589
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.01159
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0500907
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.01159
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(50688,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 748) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0070979
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0613806
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00701453
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00701453
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(135168,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 766) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0448103
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115981
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0447097
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115981
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(135168,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 766) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.011232
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0614126
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0111624
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0111624
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(67584,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 772) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0476907
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0115281
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0476194
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0115281
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(67584,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 772) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00755537
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0612693
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00760373
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00755537
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(50688,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(50688,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1081344,16896,192,1) -> Half(59136,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(59136,14784:16,168,1) -> Half(1081344,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(1081344,16896,192,1) -> Half(59136,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(59136,14784:16,168,1) -> Half(1081344,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(730 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0346432
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0139678
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0346167
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0139678
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(730 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0171921
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0577021
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0174283
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0171921
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(118272,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 790) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0449634
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0116065
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0449589
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0116065
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(118272,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 790) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00960792
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0616366
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00965394
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00960792
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(84480,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 793) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0470377
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0117088
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0471326
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0117088
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(84480,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> 793) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00880968
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0612191
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00877472
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00877472
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(787 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0527284
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.014405
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0524968
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.014405
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(787 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00549996
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0582872
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00562497
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00549996
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(724 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0513905
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0141735
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0514438
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0141735
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(724 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0067121
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0583147
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00667574
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00667574
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(726528,16896,192,1) -> Half(44352,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_2d from nvm) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0986469
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0232862
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0992549
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0232862
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,14784:16,168,1) -> Half(726528,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_2d from nvm) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.038528
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0579246
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0382971
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0382971
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(726528,16896,192,1) -> Float(635712,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: head_2d from nvm (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0363166
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.021056
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.043736
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.021056
[11/23/2022-20:24:55] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(44352,14784:16,168,1) -> Float(635712,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: head_2d from nvm (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.041752
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0407349
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0417303
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0407349
[11/23/2022-20:24:55] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(405504,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(405504,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(50688,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(748 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0503482
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0146519
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0505341
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0146519
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(50688,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(748 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00721851
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0579093
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00706482
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00706482
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(540672,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_3d from nvm) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0637105
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0176493
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0637516
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0176493
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(540672,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_3d from nvm) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0297984
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0577448
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0298706
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0297984
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(540672,16896,192,1) -> Float(473088,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: head_3d from nvm (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.027648
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0166827
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0336475
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0166827
[11/23/2022-20:24:55] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Float(473088,14784,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: head_3d from nvm (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0324361
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0218168
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0321033
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0218168
[11/23/2022-20:24:55] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(135168,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(766 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0449086
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0139429
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0448663
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0139429
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(135168,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(766 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0111553
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0583314
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0112605
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0111553
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(67584,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(772 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0493074
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.013979
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0492678
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.013979
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(67584,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(772 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00749669
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0583512
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0075184
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00749669
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(50688,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(50688,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(33792,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(33792,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(118272,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(790 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0453646
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0141785
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0455143
[11/23/2022-20:24:55] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0141785
[11/23/2022-20:24:55] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(118272,16896,192,1) ***************
[11/23/2022-20:24:55] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(790 -> <out>) (Reformat)
[11/23/2022-20:24:55] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00963261
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0585844
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00969691
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.00963261
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(84480,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(793 -> <out>) (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0479543
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.014421
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0478949
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.014421
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(84480,16896,192,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(793 -> <out>) (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.00874622
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0582781
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.00872417
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.00872417
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Half(270336,16896,192,1) ***************
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(354816,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_lane from nvm) (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0760137
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0174446
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0762903
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0174446
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Half(354816,16896,192,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: Optimizer Reformat(<in> -> head_lane from nvm) (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0215014
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0596297
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0211801
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0211801
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(354816,16896,192,1) -> Float(310464,14784,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: head_lane from nvm (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0190966
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0127665
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0240541
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0127665
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(29568,14784:16,168,1) -> Float(310464,14784,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: head_lane from nvm (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.022991
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0234057
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0230047
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.022991
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] =============== Computing reformatting costs
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(270336,16896,192,1) -> Float(236544,14784,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: head_gcp from nvm (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0159152
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0111599
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0197091
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0111599
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning Reformat: Half(14784,14784:16,168,1) -> Float(236544,14784,168,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: head_gcp from nvm (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0184229
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.02237
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0184469
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0184229
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination:  -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination:  -> Half(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0145129
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0294354
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0138855
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0138855
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0292955
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0679329
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0286226
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0286226
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.091872
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0657554
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0920731
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0657554
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.62944
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.600425
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.63143
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.600425
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.156507
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.124789
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.149993
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.124789
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,1,1344,2) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0266895
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.584338
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0268069
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0266895
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,1,1344,2) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0320704
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0266781
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0277158
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.0266781
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,1,1344,2) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0834057
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.574482
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0846629
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0834057
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,1,1344,2) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.63856
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.575355
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.6408
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.575355
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(473088,1,1344,2) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.300855
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.07711
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.305733
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.300855
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,1:4,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0397166
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.584224
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0486415
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0397166
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,1:4,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0395303
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.561161
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0393623
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0393623
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,1:4,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.110473
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.576087
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.115079
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.110473
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,1:4,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66724
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.576878
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66793
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.576878
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,1:4,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.347177
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.07572
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.348553
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.347177
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,236544:32,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.110245
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.584247
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.111038
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.110245
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,236544:32,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.062973
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.561527
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0628053
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0628053
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,236544:32,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.146597
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.575346
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.148969
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.146597
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,236544:32,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.7119
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.5768
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.69797
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.5768
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(236544,236544:32,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.428791
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.07333
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.42619
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.42619
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(1:4,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0559924
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 1.14772
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0551451
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0551451
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(1:4,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0562316
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003ea Time: 3.96948
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0568731
[11/23/2022-20:24:56] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0562316
[11/23/2022-20:24:56] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:56] [V] [TRT] *************** Autotuning format combination: Float(1:4,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:56] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:56] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:56] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.138306
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 4.06264
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.137886
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.137886
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Float(1:4,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66299
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 36.2164
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.63934
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 5.63934
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Float(1:4,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.203557
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 1.13051
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.204658
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.203557
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(473088,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0147278
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.0262293
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0335451
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0147278
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(473088,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.028576
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.268014
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0283992
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0283992
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(473088,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0673615
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.278171
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0716252
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0673615
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(473088,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.5989
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.245422
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.59983
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.245422
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(473088,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.135001
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.550967
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.137083
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.135001
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:2,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0312037
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.26763
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.015971
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.015971
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:2,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0323557
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.274939
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0324681
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0323557
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:2,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0682743
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.285787
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0663284
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0663284
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:2,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.60133
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.263205
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.60401
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.263205
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:2,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.279205
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.33088
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.279163
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.279163
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,1:8,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0437337
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.271479
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0360503
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0360503
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,1:8,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0394354
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.285015
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0372091
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0372091
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,1:8,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.111262
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.303575
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.111109
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.111109
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,1:8,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66732
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.294683
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66516
[11/23/2022-20:24:57] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.294683
[11/23/2022-20:24:57] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:57] [V] [TRT] *************** Autotuning format combination: Half(236544,1:8,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:57] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:57] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:57] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.348631
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.37877
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.347383
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.347383
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(236544,1:16,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0950491
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.273787
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0950514
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0950491
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(236544,1:16,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0555474
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.287054
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0557044
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0555474
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(236544,1:16,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.136971
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.30613
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.138091
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.136971
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(236544,1:16,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.70213
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.295424
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.70119
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003ea Time: 0.295424
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003ea
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(236544,1:16,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.392242
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.38456
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.395131
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.392242
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(1:8,236544,672,1) -> Float(473088,236544,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0557547
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.537765
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.058563
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.0557547
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(1:8,236544,672,1) -> Float(473088,1,1344,2) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.0563581
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.33678
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.0560884
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.0560884
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(1:8,236544,672,1) -> Float(236544,1:4,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.136535
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.36619
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.138174
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.136535
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(1:8,236544,672,1) -> Float(236544,236544:32,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 5.66576
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 8.36832
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 5.66471
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 5.66471
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x0000000000000000
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(1:8,236544,672,1) -> Float(1:4,236544,672,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Cast)
[11/23/2022-20:24:58] [V] [TRT] Cast has no valid tactics for this config, skipping
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: node_of_509 (Reformat)
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003e8 Time: 0.203049
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x00000000000003ea Time: 0.602469
[11/23/2022-20:24:58] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.206674
[11/23/2022-20:24:58] [V] [TRT] Fastest Tactic: 0x00000000000003e8 Time: 0.203049
[11/23/2022-20:24:58] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: Reformat Tactic: 0x00000000000003e8
[11/23/2022-20:24:58] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:24:58] [V] [TRT] *************** Autotuning format combination: Half(709632,236544,672,1), Half(473088,236544,672,1) -> Half(405504,16896,192,1), Half(135168,4224,96,1), Half(135168,1408,64,1), Half(33792,352,32,1) ***************
[11/23/2022-20:24:58] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_510...node_of_659]} (DLA)
[11/23/2022-20:24:59] [V] [TRT] Tactic: 0x0000000000000003 Time: 20.218
[11/23/2022-20:24:59] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 20.218
[11/23/2022-20:24:59] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:24:59] [V] [TRT] *************** Autotuning format combination: Half(709632,236544,672,1), Half(473088,236544,672,1) -> Half(29568,14784:16,168,1), Half(7392,3696:16,84,1), Half(5544,924:16,42,1), Half(1386,231:16,21,1) ***************
[11/23/2022-20:24:59] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_510...node_of_659]} (DLA)
[11/23/2022-20:24:59] [V] [TRT] Tactic: 0x0000000000000003 Time: 19.9529
[11/23/2022-20:24:59] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 19.9529
[11/23/2022-20:24:59] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:24:59] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:16,672,1), Half(236544,236544:16,672,1) -> Half(405504,16896,192,1), Half(135168,4224,96,1), Half(135168,1408,64,1), Half(33792,352,32,1) ***************
[11/23/2022-20:24:59] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_510...node_of_659]} (DLA)
[11/23/2022-20:24:59] [V] [TRT] Tactic: 0x0000000000000003 Time: 19.5392
[11/23/2022-20:24:59] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 19.5392
[11/23/2022-20:24:59] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:24:59] [V] [TRT] *************** Autotuning format combination: Half(236544,236544:16,672,1), Half(236544,236544:16,672,1) -> Half(29568,14784:16,168,1), Half(7392,3696:16,84,1), Half(5544,924:16,42,1), Half(1386,231:16,21,1) ***************
[11/23/2022-20:24:59] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_510...node_of_659]} (DLA)
[11/23/2022-20:25:00] [V] [TRT] Tactic: 0x0000000000000003 Time: 19.1915
[11/23/2022-20:25:00] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 19.1915
[11/23/2022-20:25:00] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:00] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:00] [V] [TRT] *************** Autotuning format combination: Float(22176,231,21,1) -> Float(88704,924,42,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.0343589
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 4.67344
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x000000000000001b Time: 7.62995
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.0343589
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.30691
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 1.30691
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] node_of_660 Set Tactic Name: sm50_xmma_deconv_generic_f32f32_f32_f32_nchwkcrs_nchw Tactic: 0x0f630dccfe13bf53
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Float(22176,1,2016,96) -> Float(88704,1,4032,96) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] node_of_660 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize32x32x8_stage3_warpsize1x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x14499f757787b157
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x14499f757787b157 Time: 1.09311
[11/23/2022-20:25:01] [V] [TRT] node_of_660 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize128x128x8_stage3_warpsize2x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x24bd5d7c8284eeec
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x24bd5d7c8284eeec Time: 3.47002
[11/23/2022-20:25:01] [V] [TRT] node_of_660 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize256x128x8_stage3_warpsize4x2x1_g1_ffma_aligna4_alignc4 Tactic: 0xb1d8242d50afdff0
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0xb1d8242d50afdff0 Time: 5.6949
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x14499f757787b157 Time: 1.09311
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskDeconvolutionV2 Tactic: 0x14499f757787b157
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Float(5544,1:4,504,24) -> Float(22176,1:4,1008,24) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(22176,231,21,1) -> Half(88704,924,42,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.0360994
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 4.71313
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x000000000000001b Time: 7.72776
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.0360994
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000000 Time: 1.18755
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 1.18755
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(11088,231:2,21,1) -> Half(44352,924:2,42,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(2772,1:8,252,12) -> Half(11088,1:8,504,12) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(1386,1:16,126,6) -> Half(5544,1:16,252,6) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (GemmDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_660 (CaskDeconvolutionV2)
[11/23/2022-20:25:01] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:01] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(135168,1408,64,1), Half(135168,1408,64,1) -> Half(135168,1408,64,1), Half(45056,1408,64,1), Half(45056,1408,64,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_661...node_of_675]} (DLA)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.329778
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.329778
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(135168,1408,64,1), Half(135168,1408,64,1) -> Half(5544,924:16,42,1), Half(1848,924:16,42,1), Half(1848,924:16,42,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_661...node_of_675]} (DLA)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.286363
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.286363
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(5544,924:16,42,1), Half(5544,924:16,42,1) -> Half(135168,1408,64,1), Half(45056,1408,64,1), Half(45056,1408,64,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_661...node_of_675]} (DLA)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.293143
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.293143
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Half(5544,924:16,42,1), Half(5544,924:16,42,1) -> Half(5544,924:16,42,1), Half(1848,924:16,42,1), Half(1848,924:16,42,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_661...node_of_675]} (DLA)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.261797
[11/23/2022-20:25:01] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.261797
[11/23/2022-20:25:01] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:01] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:01] [V] [TRT] *************** Autotuning format combination: Float(29568,924,42,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:25:01] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:01] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.043056
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.28168
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000019 Time: 0.355483
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x000000000000001b Time: 4.22319
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.043056
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.435067
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.435067
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] node_of_668 Set Tactic Name: sm50_xmma_deconv_generic_f32f32_f32_f32_nchwkcrs_nchw Tactic: 0x0f630dccfe13bf53
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(29568,1,1344,32) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] node_of_668 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize32x32x8_stage3_warpsize1x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x14499f757787b157
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x14499f757787b157 Time: 0.777335
[11/23/2022-20:25:02] [V] [TRT] node_of_668 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize128x128x8_stage3_warpsize2x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x24bd5d7c8284eeec
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x24bd5d7c8284eeec Time: 1.9737
[11/23/2022-20:25:02] [V] [TRT] node_of_668 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize256x128x8_stage3_warpsize4x2x1_g1_ffma_aligna4_alignc4 Tactic: 0xb1d8242d50afdff0
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0xb1d8242d50afdff0 Time: 2.15255
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x14499f757787b157 Time: 0.777335
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskDeconvolutionV2 Tactic: 0x14499f757787b157
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(7392,1:4,336,8) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(29568,924,42,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.0453829
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.27181
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x000000000000001b Time: 4.25718
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.0453829
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.408142
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.408142
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(14784,924:2,42,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(3696,1:8,168,4) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(1848,1:16,84,2) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_668 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(29568,924,42,1) -> Float(118272,3696,84,1) ***************
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(29568,1,1344,32) -> Float(118272,1,2688,32) ***************
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(7392,1:4,336,8) -> Float(29568,1:4,672,8) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(29568,924,42,1) -> Half(118272,3696,84,1) ***************
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(14784,924:2,42,1) -> Half(59136,3696:2,84,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(3696,1:8,168,4) -> Half(14784,1:8,336,4) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(1848,1:16,84,2) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_676 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(135168,4224,96,1), Half(135168,4224,96,1), Half(135168,4224,96,1), Half(135168,1408,64,1) -> Half(101376,4224,96,1), Half(101376,4224,96,1), Half(101376,4224,96,1), Half(101376,4224,96,1), Half(33792,1408,64,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_669...node_of_715]} (DLA)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.593678
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.593678
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(135168,4224,96,1), Half(135168,4224,96,1), Half(135168,4224,96,1), Half(135168,1408,64,1) -> Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(1848,924:16,42,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_669...node_of_715]} (DLA)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.540087
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.540087
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(5544,924:16,42,1) -> Half(101376,4224,96,1), Half(101376,4224,96,1), Half(101376,4224,96,1), Half(101376,4224,96,1), Half(33792,1408,64,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_669...node_of_715]} (DLA)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.552347
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.552347
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(5544,924:16,42,1) -> Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(7392,3696:16,84,1), Half(1848,924:16,42,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_669...node_of_715]} (DLA)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.474441
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.474441
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:02] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(88704,3696,84,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.111175
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.87925
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000019 Time: 0.26469
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x000000000000001b Time: 8.61497
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.111175
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.377664
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.377664
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] node_of_684 Set Tactic Name: sm50_xmma_deconv_generic_f32f32_f32_f32_nchwkcrs_nchw Tactic: 0x0f630dccfe13bf53
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:02] [V] [TRT] Fastest Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:02] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:02] [V] [TRT] *************** Autotuning format combination: Float(88704,1,2016,24) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:02] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:02] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:02] [V] [TRT] node_of_684 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize32x32x8_stage3_warpsize1x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x14499f757787b157
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x14499f757787b157 Time: 1.77486
[11/23/2022-20:25:02] [V] [TRT] node_of_684 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize128x128x8_stage3_warpsize2x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x24bd5d7c8284eeec
[11/23/2022-20:25:02] [V] [TRT] Tactic: 0x24bd5d7c8284eeec Time: 5.29907
[11/23/2022-20:25:02] [V] [TRT] node_of_684 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize256x128x8_stage3_warpsize4x2x1_g1_ffma_aligna4_alignc4 Tactic: 0xb1d8242d50afdff0
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0xb1d8242d50afdff0 Time: 5.9205
[11/23/2022-20:25:03] [V] [TRT] Fastest Tactic: 0x14499f757787b157 Time: 1.77486
[11/23/2022-20:25:03] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskDeconvolutionV2 Tactic: 0x14499f757787b157
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(22176,1:4,504,6) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(88704,3696,84,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.117842
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.79665
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0x0000000000000019 Time: 0.268229
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0x000000000000001b Time: 8.59578
[11/23/2022-20:25:03] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.117842
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.359017
[11/23/2022-20:25:03] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.359017
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(44352,3696:2,84,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(11088,1:8,252,3) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(7392,1:16,168,2) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_684 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(88704,3696,84,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(88704,1,2016,24) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(22176,1:4,504,6) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(88704,3696,84,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(44352,3696:2,84,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(11088,1:8,252,3) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(7392,1:16,168,2) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_692 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(88704,3696,84,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(88704,1,2016,24) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Float(22176,1:4,504,6) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_700 (CudnnDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_700 (GemmDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolution)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolutionV2)
[11/23/2022-20:25:03] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:03] [V] [TRT] *************** Autotuning format combination: Half(88704,3696,84,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(44352,3696:2,84,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(11088,1:8,252,3) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(7392,1:16,168,2) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_700 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(88704,3696,84,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(88704,1,2016,24) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(22176,1:4,504,6) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(88704,3696,84,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(44352,3696:2,84,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(11088,1:8,252,3) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(7392,1:16,168,2) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_708 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(22176,924,42,1) -> Float(88704,3696,84,1) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.0338039
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000003 Time: 2.4827
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000019 Time: 0.257435
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x000000000000001b Time: 3.21078
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.0338039
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.326619
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.326619
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] node_of_716 Set Tactic Name: sm50_xmma_deconv_generic_f32f32_f32_f32_nchwkcrs_nchw Tactic: 0x0f630dccfe13bf53
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x0f630dccfe13bf53 Time: 10000
[11/23/2022-20:25:04] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(22176,1,1008,24) -> Float(88704,1,2016,24) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] node_of_716 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize32x32x8_stage3_warpsize1x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x14499f757787b157
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x14499f757787b157 Time: 0.58277
[11/23/2022-20:25:04] [V] [TRT] node_of_716 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize128x128x8_stage3_warpsize2x2x1_g1_ffma_aligna4_alignc4 Tactic: 0x24bd5d7c8284eeec
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x24bd5d7c8284eeec Time: 1.48833
[11/23/2022-20:25:04] [V] [TRT] node_of_716 Set Tactic Name: sm80_xmma_deconv_implicit_gemm_f32f32_f32f32_f32_nhwckrsc_nhwc_tilesize256x128x8_stage3_warpsize4x2x1_g1_ffma_aligna4_alignc4 Tactic: 0xb1d8242d50afdff0
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0xb1d8242d50afdff0 Time: 1.6043
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x14499f757787b157 Time: 0.58277
[11/23/2022-20:25:04] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskDeconvolutionV2 Tactic: 0x14499f757787b157
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(5544,1:4,252,6) -> Float(22176,1:4,504,6) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(22176,924,42,1) -> Half(88704,3696,84,1) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000001 Time: 0.0350208
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000003 Time: 2.5049
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x000000000000001b Time: 3.22288
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x0000000000000001 Time: 0.0350208
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] Tactic: 0x0000000000000000 Time: 0.302368
[11/23/2022-20:25:04] [V] [TRT] Fastest Tactic: 0x0000000000000000 Time: 0.302368
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudnnDeconvolution Tactic: 0x0000000000000001
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(11088,924:2,42,1) -> Half(44352,3696:2,84,1) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(2772,1:8,126,3) -> Half(11088,1:8,252,3) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(1848,1:16,84,2) -> Half(7392,1:16,168,2) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_716 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(88704,3696,84,1) -> Float(354816,14784,168,1) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(88704,1,2016,24) -> Float(354816,1,4032,24) ***************
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Float(22176,1:4,504,6) -> Float(88704,1:4,1008,6) ***************
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_717 (CudnnDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_717 (GemmDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolution)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolutionV2)
[11/23/2022-20:25:04] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:04] [V] [TRT] *************** Autotuning format combination: Half(88704,3696,84,1) -> Half(354816,14784,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(44352,3696:2,84,1) -> Half(177408,14784:2,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CudnnDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (GemmDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(11088,1:8,252,3) -> Half(44352,1:8,504,3) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolutionV2)
[11/23/2022-20:25:05] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(7392,1:16,168,2) -> Half(29568,1:16,336,2) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CudnnDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] CudnnDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (GemmDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] GemmDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolution)
[11/23/2022-20:25:05] [V] [TRT] CaskDeconvolution has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: node_of_717 (CaskDeconvolutionV2)
[11/23/2022-20:25:05] [V] [TRT] CaskDeconvolutionV2 has no valid tactics for this config, skipping
[11/23/2022-20:25:05] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1) -> Half(405504,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(1081344,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_685...node_of_744]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.71104
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 7.71104
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1), Half(405504,16896,192,1) -> Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(59136,14784:16,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_685...node_of_744]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.46468
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 7.46468
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1) -> Half(405504,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(1081344,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_685...node_of_744]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.37842
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 7.37842
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1), Half(29568,14784:16,168,1) -> Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(59136,14784:16,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_685...node_of_744]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 7.13101
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 7.13101
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(1081344,16896,192,1), Half(405504,16896,192,1) -> Half(405504,16896,192,1), Half(50688,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(135168,16896,192,1), Half(33792,16896,192,1), Half(67584,16896,192,1), Half(50688,16896,192,1), Half(33792,16896,192,1), Half(1081344,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_745...node_of_780]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 9.84729
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 9.84729
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(1081344,16896,192,1), Half(405504,16896,192,1) -> Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(59136,14784:16,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_745...node_of_780]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 9.57327
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 9.57327
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(59136,14784:16,168,1), Half(29568,14784:16,168,1) -> Half(405504,16896,192,1), Half(50688,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(135168,16896,192,1), Half(33792,16896,192,1), Half(67584,16896,192,1), Half(50688,16896,192,1), Half(33792,16896,192,1), Half(1081344,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_745...node_of_780]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 9.69008
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 9.69008
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(59136,14784:16,168,1), Half(29568,14784:16,168,1) -> Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(59136,14784:16,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_745...node_of_780]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 9.37779
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 9.37779
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(1081344,16896,192,1), Half(405504,16896,192,1), Half(270336,16896,192,1) -> Half(16896,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(118272,16896,192,1), Half(84480,16896,192,1), Half(270336,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_781...node_of_794]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.70318
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 3.70318
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(1081344,16896,192,1), Half(405504,16896,192,1), Half(270336,16896,192,1) -> Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_781...node_of_794]} (DLA)
[11/23/2022-20:25:05] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.59767
[11/23/2022-20:25:05] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 3.59767
[11/23/2022-20:25:05] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:05] [V] [TRT] *************** Autotuning format combination: Half(59136,14784:16,168,1), Half(29568,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(16896,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(118272,16896,192,1), Half(84480,16896,192,1), Half(270336,16896,192,1) ***************
[11/23/2022-20:25:05] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_781...node_of_794]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.51159
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 3.51159
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(59136,14784:16,168,1), Half(29568,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_781...node_of_794]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 3.4201
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 3.4201
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(16896,16896,192,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_795]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.235141
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.235141
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(16896,16896,192,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_795]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.231899
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.231899
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1) -> Half(16896,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_795]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.210002
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.210002
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1) -> Half(14784,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_795]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.20475
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.20475
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(33792,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1) -> Half(726528,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_2d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 1.06153
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 1.06153
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(33792,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1), Half(33792,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(270336,16896,192,1) -> Half(44352,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_2d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.994482
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.994482
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(726528,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_2d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.861522
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.861522
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(44352,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_2d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.77685
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.77685
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(405504,16896,192,1), Half(50688,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1) -> Half(540672,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_3d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.81552
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.81552
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(405504,16896,192,1), Half(50688,16896,192,1), Half(16896,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_3d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.781847
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.781847
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(540672,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_3d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.632407
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.632407
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(29568,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(29568,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_3d]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.575575
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.575575
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] =============== Computing costs for 
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(33792,16896,192,1), Half(135168,16896,192,1), Half(33792,16896,192,1), Half(67584,16896,192,1), Half(50688,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(118272,16896,192,1), Half(84480,16896,192,1), Half(16896,16896,192,1) -> Half(270336,16896,192,1), Half(354816,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_gcp...node_of_head_lane]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 1.30677
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 1.30677
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(33792,16896,192,1), Half(135168,16896,192,1), Half(33792,16896,192,1), Half(67584,16896,192,1), Half(50688,16896,192,1), Half(33792,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(16896,16896,192,1), Half(118272,16896,192,1), Half(84480,16896,192,1), Half(16896,16896,192,1) -> Half(14784,14784:16,168,1), Half(29568,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_gcp...node_of_head_lane]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 1.21224
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 1.21224
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(270336,16896,192,1), Half(354816,16896,192,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_gcp...node_of_head_lane]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.959177
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.959177
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] *************** Autotuning format combination: Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1), Half(14784,14784:16,168,1) -> Half(14784,14784:16,168,1), Half(29568,14784:16,168,1) ***************
[11/23/2022-20:25:06] [V] [TRT] --------------- Timing Runner: {ForeignNode[node_of_head_gcp...node_of_head_lane]} (DLA)
[11/23/2022-20:25:06] [V] [TRT] Tactic: 0x0000000000000003 Time: 0.864686
[11/23/2022-20:25:06] [V] [TRT] Fastest Tactic: 0x0000000000000003 Time: 0.864686
[11/23/2022-20:25:06] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: DLA Tactic: 0x0000000000000003
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 0 to node_of_509 (509) from Float(473088,236544,672,1) to Half(473088,236544,672,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]} (509) from Half(473088,236544,672,1) to Half(236544,236544:16,672,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]} (659) from Half(1386,231:16,21,1) to Float(22176,231,21,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]} (660) from Float(88704,924,42,1) to Half(5544,924:16,42,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 0 to node_of_668 (667) from Half(1848,924:16,42,1) to Float(29568,924,42,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 0 to node_of_668 (668) from Float(118272,3696,84,1) to Half(7392,3696:16,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 0 to node_of_676 (675) from Half(1848,924:16,42,1) to Float(29568,924,42,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 0 to node_of_676 (676) from Float(118272,3696,84,1) to Half(7392,3696:16,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]} (683) from Half(7392,3696:16,84,1) to Float(88704,3696,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]} (691) from Half(7392,3696:16,84,1) to Float(88704,3696,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]} (699) from Half(7392,3696:16,84,1) to Float(88704,3696,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]} (707) from Half(7392,3696:16,84,1) to Float(88704,3696,84,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]} (715) from Half(1848,924:16,42,1) to Float(22176,924,42,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]} (684) from Float(354816,14784,168,1) to Half(29568,14784:16,168,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]} (692) from Float(354816,14784,168,1) to Half(29568,14784:16,168,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]} (700) from Float(354816,14784,168,1) to Half(29568,14784:16,168,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]} (708) from Float(354816,14784,168,1) to Half(29568,14784:16,168,1)
[11/23/2022-20:25:06] [V] [TRT] Adding reformat layer: Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]} (717) from Float(354816,14784,168,1) to Half(29568,14784:16,168,1)
[11/23/2022-20:25:06] [V] [TRT] Formats and tactics selection completed in 19.3129 seconds.
[11/23/2022-20:25:06] [V] [TRT] After reformat layers: 99 layers
[11/23/2022-20:25:06] [V] [TRT] Pre-optimized block assignment.
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 89088
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 236544
[11/23/2022-20:25:06] [V] [TRT] Block size 236544
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 1419264
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 1419264
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 1419264
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 1419264
[11/23/2022-20:25:06] [V] [TRT] Block size 89088
[11/23/2022-20:25:06] [V] [TRT] Block size 354816
[11/23/2022-20:25:06] [V] [TRT] Block size 1419264
[11/23/2022-20:25:06] [V] [TRT] Block size 7569408
[11/23/2022-20:25:06] [V] [TRT] Block size 1892352
[11/23/2022-20:25:06] [V] [TRT] Block size 7569408
[11/23/2022-20:25:06] [V] [TRT] Block size 177664
[11/23/2022-20:25:06] [V] [TRT] Block size 118272
[11/23/2022-20:25:06] [V] [TRT] Block size 473088
[11/23/2022-20:25:06] [V] [TRT] Block size 118272
[11/23/2022-20:25:06] [V] [TRT] Block size 473088
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 946176
[11/23/2022-20:25:06] [V] [TRT] Block size 32019169280
[11/23/2022-20:25:06] [V] [TRT] Total Activation Memory: 32053114368
[11/23/2022-20:25:06] [I] [TRT] Detected 1 inputs and 4 output network tensors.
[11/23/2022-20:25:07] [V] [TRT] Layer: m Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_509 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 0 to node_of_509 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: i to nvm Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_510...node_of_659]} Host Persistent: 912 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: i copy finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_660 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_661...node_of_675]} Host Persistent: 896 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 0 to node_of_668 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 622 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 667 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_668 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 0 to node_of_668 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 0 to node_of_676 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 675 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_676 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 0 to node_of_676 Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_669...node_of_715]} Host Persistent: 960 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 668 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 561 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 676 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 664 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_684 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_692 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_700 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_708 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_716 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: node_of_717 Host Persistent: 24 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatting CopyNode for Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]} Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_685...node_of_744]} Host Persistent: 1056 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_745...node_of_780]} Host Persistent: 1056 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 535 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]} finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_781...node_of_794]} Host Persistent: 960 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 744 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_795]} Host Persistent: 848 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 780 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 721 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_head_2d]} Host Persistent: 960 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_2d from nvm Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 724 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 727 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 730 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 733 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 736 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 739 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 742 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 794 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_2d copy finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_head_3d]} Host Persistent: 928 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_3d from nvm Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 745 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 748 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 751 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 754 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 757 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 760 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_3d copy finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: {ForeignNode[node_of_head_gcp...node_of_head_lane]} Host Persistent: 1040 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_lane from nvm Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 763 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 766 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 769 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 772 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 775 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 778 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 781 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 784 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 787 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 790 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 793 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: 795 finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_lane copy finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_gcp from nvm Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [V] [TRT] Layer: head_gcp copy finish Host Persistent: 0 Device Persistent: 0 Scratch Memory: 0
[11/23/2022-20:25:07] [I] [TRT] Total Host Persistent Memory: 9904
[11/23/2022-20:25:07] [I] [TRT] Total Device Persistent Memory: 0
[11/23/2022-20:25:07] [I] [TRT] Total Scratch Memory: 0
[11/23/2022-20:25:07] [I] [TRT] [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 15 MiB, GPU 57 MiB
[11/23/2022-20:25:07] [I] [TRT] [BlockAssignment] Algorithm ShiftNTopDown took 0.722055ms to assign 6 blocks to 29 nodes requiring 20342784 bytes.
[11/23/2022-20:25:07] [V] [TRT] Optimized block assignment.
[11/23/2022-20:25:07] [V] [TRT] Block size 7569408
[11/23/2022-20:25:07] [V] [TRT] Block size 1419264
[11/23/2022-20:25:07] [V] [TRT] Block size 7569408
[11/23/2022-20:25:07] [V] [TRT] Block size 1419264
[11/23/2022-20:25:07] [V] [TRT] Block size 1419264
[11/23/2022-20:25:07] [V] [TRT] Block size 946176
[11/23/2022-20:25:07] [I] [TRT] Total Activation Memory: 20342784
[11/23/2022-20:25:07] [V] [TRT] Disabling unused tactic source: CUBLAS, CUBLAS_LT
[11/23/2022-20:25:07] [V] [TRT] Disabling unused tactic source: EDGE_MASK_CONVOLUTIONS
[11/23/2022-20:25:07] [V] [TRT] Using cuDNN as a tactic source
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +1, GPU +3, now: CPU 1897, GPU 10066 (MiB)
[11/23/2022-20:25:07] [V] [TRT] Engine generation completed in 21.0844 seconds.
[11/23/2022-20:25:07] [V] [TRT] Deleting timing cache: 703 entries, served 808 hits since creation.
[11/23/2022-20:25:07] [V] [TRT] Engine Layer Information:
Layer(Constant): m, Tactic: 0x0000000000000000,  -> (Unnamed Layer* 0) [Constant]_output[Float(1,2,352,672)]
Layer(Reformat): node_of_509, Tactic: 0x0000000000000000, (Unnamed Layer* 0) [Constant]_output[Float(1,2,352,672)] -> Reformatted Output Tensor 0 to node_of_509[Float(1,2,352,672)]
Layer(Reformat): Reformatting CopyNode for Output Tensor 0 to node_of_509, Tactic: 0x00000000000003e8, Reformatted Output Tensor 0 to node_of_509[Float(1,2,352,672)] -> 509[Half(1,2,352,672)]
Layer(Reformat): i to nvm, Tactic: 0x00000000000003ea, i[Float(1,3,352,672)] -> i copy[Half(1,3,352,672)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]}, Tactic: 0x00000000000003ea, 509[Half(1,2,352,672)] -> Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]}[Half(1,2,352,672)]
Layer(DLA): {ForeignNode[node_of_510...node_of_659]}, Tactic: 0x0000000000000003, i copy[Half(1,3,352,672)], Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]}[Half(1,2,352,672)] -> 535[Half(1,24,88,168)], 561[Half(1,32,44,84)], 622[Half(1,96,22,42)], Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]}[Half(1,96,11,21)]
Layer(Reformat): Reformatting CopyNode for Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]}[Half(1,96,11,21)] -> 659[Float(1,96,11,21)]
Layer(FinishNvmRegion): i copy finish, Tactic: 0x0000000000000000, i copy[Half(1,3,352,672)] -> 
Layer(FinishNvmRegion): Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 1 to {ForeignNode[node_of_510...node_of_659]}[Half(1,2,352,672)] -> 
Layer(FinishNvmRegion): Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 3 to {ForeignNode[node_of_510...node_of_659]}[Half(1,96,11,21)] -> 
Layer(CudnnDeconvolution): node_of_660, Tactic: 0x0000000000000001, 659[Float(1,96,11,21)] -> 660[Float(1,96,22,42)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]}, Tactic: 0x00000000000003ea, 660[Float(1,96,22,42)] -> Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]}[Half(1,96,22,42)]
Layer(DLA): {ForeignNode[node_of_661...node_of_675]}, Tactic: 0x0000000000000003, Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]}[Half(1,96,22,42)], 622[Half(1,96,22,42)] -> 664[Half(1,96,22,42)], 667[Half(1,32,22,42)], 675[Half(1,32,22,42)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 0 to node_of_668, Tactic: 0x0000000000000000, 667[Half(1,32,22,42)] -> Reformatted Input Tensor 0 to node_of_668[Float(1,32,22,42)]
Layer(FinishNvmRegion): Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 0 to {ForeignNode[node_of_661...node_of_675]}[Half(1,96,22,42)] -> 
Layer(FinishNvmRegion): 622 finish, Tactic: 0x0000000000000000, 622[Half(1,96,22,42)] -> 
Layer(FinishNvmRegion): 667 finish, Tactic: 0x0000000000000000, 667[Half(1,32,22,42)] -> 
Layer(CudnnDeconvolution): node_of_668, Tactic: 0x0000000000000001, Reformatted Input Tensor 0 to node_of_668[Float(1,32,22,42)] -> Reformatted Output Tensor 0 to node_of_668[Float(1,32,44,84)]
Layer(Reformat): Reformatting CopyNode for Output Tensor 0 to node_of_668, Tactic: 0x00000000000003ea, Reformatted Output Tensor 0 to node_of_668[Float(1,32,44,84)] -> 668[Half(1,32,44,84)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 0 to node_of_676, Tactic: 0x0000000000000000, 675[Half(1,32,22,42)] -> Reformatted Input Tensor 0 to node_of_676[Float(1,32,22,42)]
Layer(FinishNvmRegion): 675 finish, Tactic: 0x0000000000000000, 675[Half(1,32,22,42)] -> 
Layer(CudnnDeconvolution): node_of_676, Tactic: 0x0000000000000001, Reformatted Input Tensor 0 to node_of_676[Float(1,32,22,42)] -> Reformatted Output Tensor 0 to node_of_676[Float(1,32,44,84)]
Layer(Reformat): Reformatting CopyNode for Output Tensor 0 to node_of_676, Tactic: 0x00000000000003ea, Reformatted Output Tensor 0 to node_of_676[Float(1,32,44,84)] -> 676[Half(1,32,44,84)]
Layer(DLA): {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000003, 668[Half(1,32,44,84)], 561[Half(1,32,44,84)], 676[Half(1,32,44,84)], 664[Half(1,96,22,42)] -> Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)], Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)], Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)], Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)], Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,22,42)]
Layer(Reformat): Reformatting CopyNode for Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,22,42)] -> 715[Float(1,24,22,42)]
Layer(FinishNvmRegion): 668 finish, Tactic: 0x0000000000000000, 668[Half(1,32,44,84)] -> 
Layer(FinishNvmRegion): 561 finish, Tactic: 0x0000000000000000, 561[Half(1,32,44,84)] -> 
Layer(FinishNvmRegion): 676 finish, Tactic: 0x0000000000000000, 676[Half(1,32,44,84)] -> 
Layer(FinishNvmRegion): 664 finish, Tactic: 0x0000000000000000, 664[Half(1,96,22,42)] -> 
Layer(FinishNvmRegion): Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 4 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,22,42)] -> 
Layer(Reformat): Reformatting CopyNode for Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 707[Float(1,24,44,84)]
Layer(FinishNvmRegion): Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 3 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 
Layer(Reformat): Reformatting CopyNode for Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 699[Float(1,24,44,84)]
Layer(FinishNvmRegion): Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 2 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 
Layer(Reformat): Reformatting CopyNode for Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 691[Float(1,24,44,84)]
Layer(FinishNvmRegion): Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 1 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 
Layer(Reformat): Reformatting CopyNode for Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]}, Tactic: 0x0000000000000000, Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 683[Float(1,24,44,84)]
Layer(FinishNvmRegion): Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]} finish, Tactic: 0x0000000000000000, Reformatted Output Tensor 0 to {ForeignNode[node_of_669...node_of_715]}[Half(1,24,44,84)] -> 
Layer(CudnnDeconvolution): node_of_684, Tactic: 0x0000000000000001, 683[Float(1,24,44,84)] -> 684[Float(1,24,88,168)]
Layer(CudnnDeconvolution): node_of_692, Tactic: 0x0000000000000001, 691[Float(1,24,44,84)] -> 692[Float(1,24,88,168)]
Layer(CudnnDeconvolution): node_of_700, Tactic: 0x0000000000000001, 699[Float(1,24,44,84)] -> 700[Float(1,24,88,168)]
Layer(CudnnDeconvolution): node_of_708, Tactic: 0x0000000000000001, 707[Float(1,24,44,84)] -> 708[Float(1,24,88,168)]
Layer(CudnnDeconvolution): node_of_716, Tactic: 0x0000000000000001, 715[Float(1,24,22,42)] -> 716[Float(1,24,44,84)]
Layer(CudnnDeconvolution): node_of_717, Tactic: 0x0000000000000001, 716[Float(1,24,44,84)] -> 717[Float(1,24,88,168)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x00000000000003ea, 684[Float(1,24,88,168)] -> Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x00000000000003ea, 692[Float(1,24,88,168)] -> Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x00000000000003ea, 700[Float(1,24,88,168)] -> Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x00000000000003ea, 708[Float(1,24,88,168)] -> Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)]
Layer(Reformat): Reformatting CopyNode for Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x00000000000003ea, 717[Float(1,24,88,168)] -> Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)]
Layer(DLA): {ForeignNode[node_of_685...node_of_744]}, Tactic: 0x0000000000000003, Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)], 535[Half(1,24,88,168)], Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)], Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)], Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)], Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 721[Half(1,24,88,168)], 724[Half(1,2,88,168)], 727[Half(1,2,88,168)], 730[Half(1,16,88,168)], 733[Half(1,2,88,168)], 736[Half(1,2,88,168)], 739[Half(1,1,88,168)], 742[Half(1,2,88,168)], 744[Half(1,64,88,168)]
Layer(DLA): {ForeignNode[node_of_745...node_of_780]}, Tactic: 0x0000000000000003, 744[Half(1,64,88,168)], 721[Half(1,24,88,168)] -> 745[Half(1,24,88,168)], 748[Half(1,3,88,168)], 751[Half(1,1,88,168)], 754[Half(1,2,88,168)], 757[Half(1,1,88,168)], 760[Half(1,1,88,168)], 763[Half(1,2,88,168)], 766[Half(1,8,88,168)], 769[Half(1,2,88,168)], 772[Half(1,4,88,168)], 775[Half(1,3,88,168)], 778[Half(1,2,88,168)], 780[Half(1,64,88,168)]
Layer(FinishNvmRegion): Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 0 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): 535 finish, Tactic: 0x0000000000000000, 535[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 2 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 3 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 4 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]} finish, Tactic: 0x0000000000000000, Reformatted Input Tensor 5 to {ForeignNode[node_of_685...node_of_744]}[Half(1,24,88,168)] -> 
Layer(DLA): {ForeignNode[node_of_781...node_of_794]}, Tactic: 0x0000000000000003, 780[Half(1,64,88,168)], 721[Half(1,24,88,168)], 730[Half(1,16,88,168)] -> 781[Half(1,1,88,168)], 784[Half(1,1,88,168)], 787[Half(1,1,88,168)], 790[Half(1,7,88,168)], 793[Half(1,5,88,168)], 794[Half(1,16,88,168)]
Layer(FinishNvmRegion): 744 finish, Tactic: 0x0000000000000000, 744[Half(1,64,88,168)] -> 
Layer(DLA): {ForeignNode[node_of_795]}, Tactic: 0x0000000000000003, 787[Half(1,1,88,168)] -> 795[Half(1,1,88,168)]
Layer(FinishNvmRegion): 780 finish, Tactic: 0x0000000000000000, 780[Half(1,64,88,168)] -> 
Layer(FinishNvmRegion): 721 finish, Tactic: 0x0000000000000000, 721[Half(1,24,88,168)] -> 
Layer(DLA): {ForeignNode[node_of_head_2d]}, Tactic: 0x0000000000000003, 724[Half(1,2,88,168)], 727[Half(1,2,88,168)], 730[Half(1,16,88,168)], 733[Half(1,2,88,168)], 736[Half(1,2,88,168)], 739[Half(1,1,88,168)], 742[Half(1,2,88,168)], 794[Half(1,16,88,168)] -> head_2d copy[Half(1,43,88,168)]
Layer(Reformat): head_2d from nvm, Tactic: 0x00000000000003ea, head_2d copy[Half(1,43,88,168)] -> head_2d[Float(1,43,88,168)]
Layer(FinishNvmRegion): 724 finish, Tactic: 0x0000000000000000, 724[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 727 finish, Tactic: 0x0000000000000000, 727[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 730 finish, Tactic: 0x0000000000000000, 730[Half(1,16,88,168)] -> 
Layer(FinishNvmRegion): 733 finish, Tactic: 0x0000000000000000, 733[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 736 finish, Tactic: 0x0000000000000000, 736[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 739 finish, Tactic: 0x0000000000000000, 739[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 742 finish, Tactic: 0x0000000000000000, 742[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 794 finish, Tactic: 0x0000000000000000, 794[Half(1,16,88,168)] -> 
Layer(FinishNvmRegion): head_2d copy finish, Tactic: 0x0000000000000000, head_2d copy[Half(1,43,88,168)] -> 
Layer(DLA): {ForeignNode[node_of_head_3d]}, Tactic: 0x0000000000000003, 745[Half(1,24,88,168)], 748[Half(1,3,88,168)], 751[Half(1,1,88,168)], 754[Half(1,2,88,168)], 757[Half(1,1,88,168)], 760[Half(1,1,88,168)] -> head_3d copy[Half(1,32,88,168)]
Layer(Reformat): head_3d from nvm, Tactic: 0x00000000000003ea, head_3d copy[Half(1,32,88,168)] -> head_3d[Float(1,32,88,168)]
Layer(FinishNvmRegion): 745 finish, Tactic: 0x0000000000000000, 745[Half(1,24,88,168)] -> 
Layer(FinishNvmRegion): 748 finish, Tactic: 0x0000000000000000, 748[Half(1,3,88,168)] -> 
Layer(FinishNvmRegion): 751 finish, Tactic: 0x0000000000000000, 751[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 754 finish, Tactic: 0x0000000000000000, 754[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 757 finish, Tactic: 0x0000000000000000, 757[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 760 finish, Tactic: 0x0000000000000000, 760[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): head_3d copy finish, Tactic: 0x0000000000000000, head_3d copy[Half(1,32,88,168)] -> 
Layer(DLA): {ForeignNode[node_of_head_gcp...node_of_head_lane]}, Tactic: 0x0000000000000003, 763[Half(1,2,88,168)], 766[Half(1,8,88,168)], 769[Half(1,2,88,168)], 772[Half(1,4,88,168)], 775[Half(1,3,88,168)], 778[Half(1,2,88,168)], 781[Half(1,1,88,168)], 784[Half(1,1,88,168)], 787[Half(1,1,88,168)], 790[Half(1,7,88,168)], 793[Half(1,5,88,168)], 795[Half(1,1,88,168)] -> head_gcp copy[Half(1,16,88,168)], head_lane copy[Half(1,21,88,168)]
Layer(Reformat): head_lane from nvm, Tactic: 0x00000000000003e8, head_lane copy[Half(1,21,88,168)] -> head_lane[Float(1,21,88,168)]
Layer(FinishNvmRegion): 763 finish, Tactic: 0x0000000000000000, 763[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 766 finish, Tactic: 0x0000000000000000, 766[Half(1,8,88,168)] -> 
Layer(FinishNvmRegion): 769 finish, Tactic: 0x0000000000000000, 769[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 772 finish, Tactic: 0x0000000000000000, 772[Half(1,4,88,168)] -> 
Layer(FinishNvmRegion): 775 finish, Tactic: 0x0000000000000000, 775[Half(1,3,88,168)] -> 
Layer(FinishNvmRegion): 778 finish, Tactic: 0x0000000000000000, 778[Half(1,2,88,168)] -> 
Layer(FinishNvmRegion): 781 finish, Tactic: 0x0000000000000000, 781[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 784 finish, Tactic: 0x0000000000000000, 784[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 787 finish, Tactic: 0x0000000000000000, 787[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): 790 finish, Tactic: 0x0000000000000000, 790[Half(1,7,88,168)] -> 
Layer(FinishNvmRegion): 793 finish, Tactic: 0x0000000000000000, 793[Half(1,5,88,168)] -> 
Layer(FinishNvmRegion): 795 finish, Tactic: 0x0000000000000000, 795[Half(1,1,88,168)] -> 
Layer(FinishNvmRegion): head_lane copy finish, Tactic: 0x0000000000000000, head_lane copy[Half(1,21,88,168)] -> 
Layer(Reformat): head_gcp from nvm, Tactic: 0x00000000000003e8, head_gcp copy[Half(1,16,88,168)] -> head_gcp[Float(1,16,88,168)]
Layer(FinishNvmRegion): head_gcp copy finish, Tactic: 0x0000000000000000, head_gcp copy[Half(1,16,88,168)] -> 
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in building engine: CPU +8, GPU +4, now: CPU 8, GPU 4 (MiB)
[11/23/2022-20:25:07] [W] [TRT] The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.
[11/23/2022-20:25:07] [W] [TRT] The getMaxBatchSize() function should not be used with an engine built from a network created with NetworkDefinitionCreationFlag::kEXPLICIT_BATCH flag. This function will always return 1.
[11/23/2022-20:25:07] [I] Engine built in 25.7829 sec.
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] Init CUDA: CPU +0, GPU +0, now: CPU 1528, GPU 9923 (MiB)
[11/23/2022-20:25:07] [I] [TRT] Loaded engine size: 10 MiB
[11/23/2022-20:25:07] [V] [TRT] Using cuDNN as a tactic source
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +0, now: CPU 1537, GPU 9923 (MiB)
[11/23/2022-20:25:07] [V] [TRT] Deserialization required 4688 microseconds.
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in engine deserialization: CPU +8, GPU +1, now: CPU 8, GPU 1 (MiB)
[11/23/2022-20:25:07] [I] Engine deserialized in 0.00696564 sec.
[11/23/2022-20:25:07] [V] [TRT] Using cuDNN as a tactic source
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] Init cuDNN: CPU +0, GPU +5, now: CPU 1537, GPU 9928 (MiB)
[11/23/2022-20:25:07] [V] [TRT] Total per-runner device persistent memory is 0
[11/23/2022-20:25:07] [V] [TRT] Total per-runner host persistent memory is 9904
[11/23/2022-20:25:07] [V] [TRT] Allocated activation device memory of size 20342784
[11/23/2022-20:25:07] [I] [TRT] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +20, now: CPU 8, GPU 21 (MiB)
[11/23/2022-20:25:07] [I] Using random values for input i
[11/23/2022-20:25:07] [I] Created input binding for i with dimensions 1x3x352x672
[11/23/2022-20:25:07] [I] Using random values for output head_2d
[11/23/2022-20:25:07] [I] Created output binding for head_2d with dimensions 1x43x88x168
[11/23/2022-20:25:07] [I] Using random values for output head_3d
[11/23/2022-20:25:07] [I] Created output binding for head_3d with dimensions 1x32x88x168
[11/23/2022-20:25:07] [I] Using random values for output head_gcp
[11/23/2022-20:25:07] [I] Created output binding for head_gcp with dimensions 1x16x88x168
[11/23/2022-20:25:07] [I] Using random values for output head_lane
[11/23/2022-20:25:07] [I] Created output binding for head_lane with dimensions 1x21x88x168
[11/23/2022-20:25:07] [I] Starting inference
[11/23/2022-20:25:10] [I] Warmup completed 5 queries over 200 ms
[11/23/2022-20:25:10] [I] Timing trace has 73 queries over 3.11127 s
[11/23/2022-20:25:10] [I] 
[11/23/2022-20:25:10] [I] === Trace details ===
[11/23/2022-20:25:10] [I] Trace averages of 10 runs:
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0536 ms - Host latency: 42.4282 ms (enqueue 41.8662 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0409 ms - Host latency: 42.416 ms (enqueue 41.845 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0387 ms - Host latency: 42.4143 ms (enqueue 41.8449 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0482 ms - Host latency: 42.4228 ms (enqueue 41.8529 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0421 ms - Host latency: 42.4177 ms (enqueue 41.8542 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.0446 ms - Host latency: 42.4213 ms (enqueue 41.8414 ms)
[11/23/2022-20:25:10] [I] Average on 10 runs - GPU latency: 42.047 ms - Host latency: 42.4207 ms (enqueue 41.8592 ms)
[11/23/2022-20:25:10] [I] 
[11/23/2022-20:25:10] [I] === Performance summary ===
[11/23/2022-20:25:10] [I] Throughput: 23.4631 qps
[11/23/2022-20:25:10] [I] Latency: min = 42.3345 ms, max = 42.5254 ms, mean = 42.4185 ms, median = 42.4167 ms, percentile(99%) = 42.5254 ms
[11/23/2022-20:25:10] [I] Enqueue Time: min = 41.791 ms, max = 41.9641 ms, mean = 41.8515 ms, median = 41.8457 ms, percentile(99%) = 41.9641 ms
[11/23/2022-20:25:10] [I] H2D Latency: min = 0.0861816 ms, max = 0.0949707 ms, mean = 0.0879466 ms, median = 0.0877686 ms, percentile(99%) = 0.0949707 ms
[11/23/2022-20:25:10] [I] GPU Compute Time: min = 41.9841 ms, max = 42.1447 ms, mean = 42.0447 ms, median = 42.0438 ms, percentile(99%) = 42.1447 ms
[11/23/2022-20:25:10] [I] D2H Latency: min = 0.194824 ms, max = 0.293701 ms, mean = 0.285904 ms, median = 0.287598 ms, percentile(99%) = 0.293701 ms
[11/23/2022-20:25:10] [I] Total Host Walltime: 3.11127 s
[11/23/2022-20:25:10] [I] Total GPU Compute Time: 3.06926 s
[11/23/2022-20:25:10] [W] * Throughput may be bound by Enqueue Time rather than GPU Compute and the GPU may be under-utilized.
[11/23/2022-20:25:10] [W]   If not already in use, --useCudaGraph (utilize CUDA graphs where possible) may increase the throughput.
[11/23/2022-20:25:10] [I] Explanations of the performance metrics are printed in the verbose logs.
[11/23/2022-20:25:10] [V] 
[11/23/2022-20:25:10] [V] === Explanations of the performance metrics ===
[11/23/2022-20:25:10] [V] Total Host Walltime: the host walltime from when the first query (after warmups) is enqueued to when the last query is completed.
[11/23/2022-20:25:10] [V] GPU Compute Time: the GPU latency to execute the kernels for a query.
[11/23/2022-20:25:10] [V] Total GPU Compute Time: the summation of the GPU Compute Time of all the queries. If this is significantly shorter than Total Host Walltime, the GPU may be under-utilized because of host-side overheads or data transfers.
[11/23/2022-20:25:10] [V] Throughput: the observed throughput computed by dividing the number of queries by the Total Host Walltime. If this is significantly lower than the reciprocal of GPU Compute Time, the GPU may be under-utilized because of host-side overheads or data transfers.
[11/23/2022-20:25:10] [V] Enqueue Time: the host latency to enqueue a query. If this is longer than GPU Compute Time, the GPU may be under-utilized.
[11/23/2022-20:25:10] [V] H2D Latency: the latency for host-to-device data transfers for input tensors of a single query.
[11/23/2022-20:25:10] [V] D2H Latency: the latency for device-to-host data transfers for output tensors of a single query.
[11/23/2022-20:25:10] [V] Latency: the summation of H2D Latency, GPU Compute Time, and D2H Latency. This is the latency to infer a single query.
[11/23/2022-20:25:10] [I] 
&&&& PASSED TensorRT.trtexec [TensorRT v8401] # /usr/src/tensorrt/bin/trtexec --onnx=c3dv2.3.k4.onnx --saveEngine=c3d_1dla.engine --useDLACore=0 --allowGPUFallback --verbose