&&&& RUNNING TensorRT.trtexec # trtexec --onnx=hfnet_core.onnx --useDLACore=0 --allowGPUFallback --verbose [12/30/2020-17:48:37] [I] === Model Options === [12/30/2020-17:48:37] [I] Format: ONNX [12/30/2020-17:48:37] [I] Model: hfnet_core.onnx [12/30/2020-17:48:37] [I] Output: [12/30/2020-17:48:37] [I] === Build Options === [12/30/2020-17:48:37] [I] Max batch: 1 [12/30/2020-17:48:37] [I] Workspace: 16 MB [12/30/2020-17:48:37] [I] minTiming: 1 [12/30/2020-17:48:37] [I] avgTiming: 8 [12/30/2020-17:48:37] [I] Precision: FP32 [12/30/2020-17:48:37] [I] Calibration: [12/30/2020-17:48:37] [I] Safe mode: Disabled [12/30/2020-17:48:37] [I] Save engine: [12/30/2020-17:48:37] [I] Load engine: [12/30/2020-17:48:37] [I] Builder Cache: Enabled [12/30/2020-17:48:37] [I] NVTX verbosity: 0 [12/30/2020-17:48:37] [I] Inputs format: fp32:CHW [12/30/2020-17:48:37] [I] Outputs format: fp32:CHW [12/30/2020-17:48:37] [I] Input build shapes: model [12/30/2020-17:48:37] [I] Input calibration shapes: model [12/30/2020-17:48:37] [I] === System Options === [12/30/2020-17:48:37] [I] Device: 0 [12/30/2020-17:48:37] [I] DLACore: 0(With GPU fallback) [12/30/2020-17:48:37] [I] Plugins: [12/30/2020-17:48:37] [I] === Inference Options === [12/30/2020-17:48:37] [I] Batch: 1 [12/30/2020-17:48:37] [I] Input inference shapes: model [12/30/2020-17:48:37] [I] Iterations: 10 [12/30/2020-17:48:37] [I] Duration: 3s (+ 200ms warm up) [12/30/2020-17:48:37] [I] Sleep time: 0ms [12/30/2020-17:48:37] [I] Streams: 1 [12/30/2020-17:48:37] [I] ExposeDMA: Disabled [12/30/2020-17:48:37] [I] Spin-wait: Disabled [12/30/2020-17:48:37] [I] Multithreading: Disabled [12/30/2020-17:48:37] [I] CUDA Graph: Disabled [12/30/2020-17:48:37] [I] Skip inference: Disabled [12/30/2020-17:48:37] [I] Inputs: [12/30/2020-17:48:37] [I] === Reporting Options === [12/30/2020-17:48:37] [I] Verbose: Enabled [12/30/2020-17:48:37] [I] Averages: 10 inferences [12/30/2020-17:48:37] [I] Percentile: 99 [12/30/2020-17:48:37] [I] Dump output: Disabled [12/30/2020-17:48:37] [I] Profile: Disabled [12/30/2020-17:48:37] [I] Export timing to JSON file: [12/30/2020-17:48:37] [I] Export output to JSON file: [12/30/2020-17:48:37] [I] Export profile to JSON file: [12/30/2020-17:48:37] [I] [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::GridAnchor_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::NMS_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Reorg_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Region_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Clip_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::LReLU_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::PriorBox_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Normalize_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::RPROI_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::BatchedNMS_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::FlattenConcat_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::CropAndResize version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::DetectionLayer_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Proposal version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::ProposalLayer_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::PyramidROIAlign_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::ResizeNearest_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::Split version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::SpecialSlice_TRT version 1 [12/30/2020-17:48:37] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 1 ---------------------------------------------------------------- Input filename: hfnet_core.onnx ONNX IR version: 0.0.4 Opset version: 9 Producer name: pytorch Producer version: 1.3 Domain: Model version: 0 Doc string: ---------------------------------------------------------------- [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::GridAnchor_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::NMS_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Reorg_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Region_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Clip_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::LReLU_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::PriorBox_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Normalize_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::RPROI_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::BatchedNMS_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::FlattenConcat_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::CropAndResize version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::DetectionLayer_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Proposal version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::ProposalLayer_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::PyramidROIAlign_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::ResizeNearest_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::Split version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::SpecialSlice_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 1 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:202: Adding network input: input with dtype: float32, dimensions: (1, 1, 768, 384) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: input for ONNX tensor: input [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv__BatchNorm.num_batches_tracked [12/30/2020-17:48:39] [W] [TRT] onnx2trt_utils.cpp:220: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32. [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.Conv__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.num_batches_tracked [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 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[12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project__BatchNorm.num_batches_tracked [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_1.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing initializer: MobilenetV2.expanded_conv_10.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:90: Importing 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[TRT] ImporterContext.hpp:116: Registering tensor: 332 for ONNX tensor: 332 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [332 -> (1, 1, 769, 385)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 332 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.Conv.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [332 -> (1, 1, 769, 385)], [MobilenetV2.Conv.weight -> (24, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 1, 769, 385) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 1) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 24, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 333 for ONNX tensor: 333 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [333 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 333 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.Conv__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.Conv__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.Conv__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.Conv__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [333 -> (1, 24, 384, 192)], [MobilenetV2.Conv__BatchNorm.weight -> (24)], [MobilenetV2.Conv__BatchNorm.bias -> (24)], [MobilenetV2.Conv__BatchNorm.running_mean -> (24)], [MobilenetV2.Conv__BatchNorm.running_var -> (24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 2) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 334 for ONNX tensor: 334 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [334 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 334 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [334 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 3) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 335 for ONNX tensor: 335 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [335 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 335 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [335 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 4) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 336 for ONNX tensor: 336 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [336 -> (1, 24, 386, 194)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 336 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [336 -> (1, 24, 386, 194)], [MobilenetV2.expanded_conv__depthwise__depthwise.weight -> (24, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 24, 386, 194) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 5) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 24, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 337 for ONNX tensor: 337 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [337 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 337 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [337 -> (1, 24, 384, 192)], [MobilenetV2.expanded_conv__depthwise__BatchNorm.weight -> (24)], [MobilenetV2.expanded_conv__depthwise__BatchNorm.bias -> (24)], [MobilenetV2.expanded_conv__depthwise__BatchNorm.running_mean -> (24)], [MobilenetV2.expanded_conv__depthwise__BatchNorm.running_var -> (24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 6) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 338 for ONNX tensor: 338 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [338 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 338 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [338 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 7) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 339 for ONNX tensor: 339 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [339 -> (1, 24, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 339 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [339 -> (1, 24, 384, 192)], [MobilenetV2.expanded_conv__project.weight -> (16, 24, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 24, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 8) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 16 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 16, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 340 for ONNX tensor: 340 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [340 -> (1, 16, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 340 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv__project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [340 -> (1, 16, 384, 192)], [MobilenetV2.expanded_conv__project__BatchNorm.weight -> (16)], [MobilenetV2.expanded_conv__project__BatchNorm.bias -> (16)], [MobilenetV2.expanded_conv__project__BatchNorm.running_mean -> (16)], [MobilenetV2.expanded_conv__project__BatchNorm.running_var -> (16)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 9) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 341 for ONNX tensor: 341 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [341 -> (1, 16, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 341 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [341 -> (1, 16, 384, 192)], [MobilenetV2.expanded_conv_1.expand.weight -> (96, 16, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 16, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 10) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 96, 384, 192) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 342 for ONNX tensor: 342 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [342 -> (1, 96, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 342 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [342 -> (1, 96, 384, 192)], [MobilenetV2.expanded_conv_1.expand__BatchNorm.weight -> (96)], [MobilenetV2.expanded_conv_1.expand__BatchNorm.bias -> (96)], [MobilenetV2.expanded_conv_1.expand__BatchNorm.running_mean -> (96)], [MobilenetV2.expanded_conv_1.expand__BatchNorm.running_var -> (96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 11) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 343 for ONNX tensor: 343 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [343 -> (1, 96, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 343 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [343 -> (1, 96, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 12) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 344 for ONNX tensor: 344 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [344 -> (1, 96, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 344 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [344 -> (1, 96, 384, 192)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 13) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 345 for ONNX tensor: 345 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [345 -> (1, 96, 385, 193)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 345 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [345 -> (1, 96, 385, 193)], [MobilenetV2.expanded_conv_1.depthwise__depthwise.weight -> (96, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 96, 385, 193) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 14) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 96, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 346 for ONNX tensor: 346 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [346 -> (1, 96, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 346 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [346 -> (1, 96, 192, 96)], [MobilenetV2.expanded_conv_1.depthwise__BatchNorm.weight -> (96)], [MobilenetV2.expanded_conv_1.depthwise__BatchNorm.bias -> (96)], [MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_mean -> (96)], [MobilenetV2.expanded_conv_1.depthwise__BatchNorm.running_var -> (96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 15) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 347 for ONNX tensor: 347 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [347 -> (1, 96, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 347 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [347 -> (1, 96, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 16) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 348 for ONNX tensor: 348 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [348 -> (1, 96, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 348 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [348 -> (1, 96, 192, 96)], [MobilenetV2.expanded_conv_1.project.weight -> (24, 96, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 96, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 17) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 24, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 349 for ONNX tensor: 349 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [349 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 349 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_1.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [349 -> (1, 24, 192, 96)], [MobilenetV2.expanded_conv_1.project__BatchNorm.weight -> (24)], [MobilenetV2.expanded_conv_1.project__BatchNorm.bias -> (24)], [MobilenetV2.expanded_conv_1.project__BatchNorm.running_mean -> (24)], [MobilenetV2.expanded_conv_1.project__BatchNorm.running_var -> (24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 18) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 350 for ONNX tensor: 350 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [350 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 350 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [350 -> (1, 24, 192, 96)], [MobilenetV2.expanded_conv_2.expand.weight -> (144, 24, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 24, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 19) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 351 for ONNX tensor: 351 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [351 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 351 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [351 -> (1, 144, 192, 96)], [MobilenetV2.expanded_conv_2.expand__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_2.expand__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_2.expand__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_2.expand__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 20) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 352 for ONNX tensor: 352 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [352 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 352 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [352 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 21) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 353 for ONNX tensor: 353 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [353 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 353 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [353 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 22) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 354 for ONNX tensor: 354 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [354 -> (1, 144, 194, 98)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 354 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [354 -> (1, 144, 194, 98)], [MobilenetV2.expanded_conv_2.depthwise__depthwise.weight -> (144, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 194, 98) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 23) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 355 for ONNX tensor: 355 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [355 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 355 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [355 -> (1, 144, 192, 96)], [MobilenetV2.expanded_conv_2.depthwise__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_2.depthwise__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_2.depthwise__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_2.depthwise__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 24) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 356 for ONNX tensor: 356 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [356 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 356 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [356 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 25) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 357 for ONNX tensor: 357 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [357 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 357 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [357 -> (1, 144, 192, 96)], [MobilenetV2.expanded_conv_2.project.weight -> (24, 144, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 26) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 24, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 358 for ONNX tensor: 358 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [358 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 358 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_2.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [358 -> (1, 24, 192, 96)], [MobilenetV2.expanded_conv_2.project__BatchNorm.weight -> (24)], [MobilenetV2.expanded_conv_2.project__BatchNorm.bias -> (24)], [MobilenetV2.expanded_conv_2.project__BatchNorm.running_mean -> (24)], [MobilenetV2.expanded_conv_2.project__BatchNorm.running_var -> (24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 27) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 359 for ONNX tensor: 359 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [359 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 350 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 359 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [350 -> (1, 24, 192, 96)], [359 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 28) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 360 for ONNX tensor: 360 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [360 -> (1, 24, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 360 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [360 -> (1, 24, 192, 96)], [MobilenetV2.expanded_conv_3.expand.weight -> (144, 24, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 24, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 29) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 192, 96) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 361 for ONNX tensor: 361 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [361 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 361 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [361 -> (1, 144, 192, 96)], [MobilenetV2.expanded_conv_3.expand__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_3.expand__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_3.expand__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_3.expand__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 30) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 362 for ONNX tensor: 362 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [362 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 362 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [362 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 31) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 363 for ONNX tensor: 363 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [363 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 363 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [363 -> (1, 144, 192, 96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 32) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 364 for ONNX tensor: 364 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [364 -> (1, 144, 193, 97)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 364 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [364 -> (1, 144, 193, 97)], [MobilenetV2.expanded_conv_3.depthwise__depthwise.weight -> (144, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 193, 97) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 33) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 365 for ONNX tensor: 365 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [365 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 365 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [365 -> (1, 144, 96, 48)], [MobilenetV2.expanded_conv_3.depthwise__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_3.depthwise__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_3.depthwise__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_3.depthwise__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 34) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 366 for ONNX tensor: 366 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [366 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 366 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [366 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 35) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 367 for ONNX tensor: 367 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [367 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 367 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [367 -> (1, 144, 96, 48)], [MobilenetV2.expanded_conv_3.project.weight -> (24, 144, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 36) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 24 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 24, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 368 for ONNX tensor: 368 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [368 -> (1, 24, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 368 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_3.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [368 -> (1, 24, 96, 48)], [MobilenetV2.expanded_conv_3.project__BatchNorm.weight -> (24)], [MobilenetV2.expanded_conv_3.project__BatchNorm.bias -> (24)], [MobilenetV2.expanded_conv_3.project__BatchNorm.running_mean -> (24)], [MobilenetV2.expanded_conv_3.project__BatchNorm.running_var -> (24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 37) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 369 for ONNX tensor: 369 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [369 -> (1, 24, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 369 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [369 -> (1, 24, 96, 48)], [MobilenetV2.expanded_conv_4.expand.weight -> (144, 24, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 24, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 38) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 370 for ONNX tensor: 370 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [370 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 370 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [370 -> (1, 144, 96, 48)], [MobilenetV2.expanded_conv_4.expand__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_4.expand__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_4.expand__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_4.expand__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 39) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 371 for ONNX tensor: 371 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [371 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 371 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [371 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 40) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 372 for ONNX tensor: 372 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [372 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 372 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [372 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 41) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 373 for ONNX tensor: 373 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [373 -> (1, 144, 98, 50)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 373 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [373 -> (1, 144, 98, 50)], [MobilenetV2.expanded_conv_4.depthwise__depthwise.weight -> (144, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 98, 50) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 42) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 144 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 144, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 374 for ONNX tensor: 374 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [374 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 374 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [374 -> (1, 144, 96, 48)], [MobilenetV2.expanded_conv_4.depthwise__BatchNorm.weight -> (144)], [MobilenetV2.expanded_conv_4.depthwise__BatchNorm.bias -> (144)], [MobilenetV2.expanded_conv_4.depthwise__BatchNorm.running_mean -> (144)], [MobilenetV2.expanded_conv_4.depthwise__BatchNorm.running_var -> (144)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 43) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 375 for ONNX tensor: 375 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [375 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 375 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [375 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 44) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 376 for ONNX tensor: 376 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [376 -> (1, 144, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 376 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [376 -> (1, 144, 96, 48)], [MobilenetV2.expanded_conv_4.project.weight -> (48, 144, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 144, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 45) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 48 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 48, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 377 for ONNX tensor: 377 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [377 -> (1, 48, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 377 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_4.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [377 -> (1, 48, 96, 48)], [MobilenetV2.expanded_conv_4.project__BatchNorm.weight -> (48)], [MobilenetV2.expanded_conv_4.project__BatchNorm.bias -> (48)], [MobilenetV2.expanded_conv_4.project__BatchNorm.running_mean -> (48)], [MobilenetV2.expanded_conv_4.project__BatchNorm.running_var -> (48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 46) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 378 for ONNX tensor: 378 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [378 -> (1, 48, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 378 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [378 -> (1, 48, 96, 48)], [MobilenetV2.expanded_conv_5.expand.weight -> (288, 48, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 48, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 47) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 379 for ONNX tensor: 379 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [379 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 379 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [379 -> (1, 288, 96, 48)], [MobilenetV2.expanded_conv_5.expand__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_5.expand__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_5.expand__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_5.expand__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 48) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 380 for ONNX tensor: 380 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [380 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 380 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [380 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 49) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 381 for ONNX tensor: 381 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [381 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 381 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [381 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 50) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 382 for ONNX tensor: 382 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [382 -> (1, 288, 98, 50)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 382 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [382 -> (1, 288, 98, 50)], [MobilenetV2.expanded_conv_5.depthwise__depthwise.weight -> (288, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 98, 50) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 51) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 383 for ONNX tensor: 383 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [383 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 383 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [383 -> (1, 288, 96, 48)], [MobilenetV2.expanded_conv_5.depthwise__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_5.depthwise__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_5.depthwise__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_5.depthwise__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 52) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 384 for ONNX tensor: 384 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [384 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 384 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [384 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 53) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 385 for ONNX tensor: 385 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [385 -> (1, 288, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 385 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [385 -> (1, 288, 96, 48)], [MobilenetV2.expanded_conv_5.project.weight -> (96, 288, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 54) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 96 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 96, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 386 for ONNX tensor: 386 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [386 -> (1, 96, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 386 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_5.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [386 -> (1, 96, 96, 48)], [MobilenetV2.expanded_conv_5.project__BatchNorm.weight -> (96)], [MobilenetV2.expanded_conv_5.project__BatchNorm.bias -> (96)], [MobilenetV2.expanded_conv_5.project__BatchNorm.running_mean -> (96)], [MobilenetV2.expanded_conv_5.project__BatchNorm.running_var -> (96)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 55) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 387 for ONNX tensor: 387 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [387 -> (1, 96, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 387 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [387 -> (1, 96, 96, 48)], [MobilenetV2.expanded_conv_6.expand.weight -> (576, 96, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 96, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 56) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 576 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 576, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 388 for ONNX tensor: 388 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [388 -> (1, 576, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 388 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [388 -> (1, 576, 96, 48)], [MobilenetV2.expanded_conv_6.expand__BatchNorm.weight -> (576)], [MobilenetV2.expanded_conv_6.expand__BatchNorm.bias -> (576)], [MobilenetV2.expanded_conv_6.expand__BatchNorm.running_mean -> (576)], [MobilenetV2.expanded_conv_6.expand__BatchNorm.running_var -> (576)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 57) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 389 for ONNX tensor: 389 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [389 -> (1, 576, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 389 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [389 -> (1, 576, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 58) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 390 for ONNX tensor: 390 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [390 -> (1, 576, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 390 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [390 -> (1, 576, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 59) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 391 for ONNX tensor: 391 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [391 -> (1, 576, 97, 49)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 391 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [391 -> (1, 576, 97, 49)], [MobilenetV2.expanded_conv_6.depthwise__depthwise.weight -> (576, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 576, 97, 49) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 60) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 576 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 576, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 392 for ONNX tensor: 392 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [392 -> (1, 576, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 392 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [392 -> (1, 576, 48, 24)], [MobilenetV2.expanded_conv_6.depthwise__BatchNorm.weight -> (576)], [MobilenetV2.expanded_conv_6.depthwise__BatchNorm.bias -> (576)], [MobilenetV2.expanded_conv_6.depthwise__BatchNorm.running_mean -> (576)], [MobilenetV2.expanded_conv_6.depthwise__BatchNorm.running_var -> (576)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 61) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 393 for ONNX tensor: 393 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [393 -> (1, 576, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 393 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [393 -> (1, 576, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 62) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 394 for ONNX tensor: 394 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [394 -> (1, 576, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 394 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [394 -> (1, 576, 48, 24)], [MobilenetV2.expanded_conv_6.project.weight -> (48, 576, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 576, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 63) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 48 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 395 for ONNX tensor: 395 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [395 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 395 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_6.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [395 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_6.project__BatchNorm.weight -> (48)], [MobilenetV2.expanded_conv_6.project__BatchNorm.bias -> (48)], [MobilenetV2.expanded_conv_6.project__BatchNorm.running_mean -> (48)], [MobilenetV2.expanded_conv_6.project__BatchNorm.running_var -> (48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 64) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 396 for ONNX tensor: 396 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [396 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 396 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [396 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_7.expand.weight -> (288, 48, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 65) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 397 for ONNX tensor: 397 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [397 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 397 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [397 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_7.expand__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_7.expand__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_7.expand__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_7.expand__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 66) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 398 for ONNX tensor: 398 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [398 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 398 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [398 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 67) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 399 for ONNX tensor: 399 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [399 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 399 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [399 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 68) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 400 for ONNX tensor: 400 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [400 -> (1, 288, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 400 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [400 -> (1, 288, 50, 26)], [MobilenetV2.expanded_conv_7.depthwise__depthwise.weight -> (288, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 69) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 401 for ONNX tensor: 401 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [401 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 401 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [401 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_7.depthwise__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_7.depthwise__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_7.depthwise__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_7.depthwise__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 70) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 402 for ONNX tensor: 402 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [402 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 402 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [402 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 71) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 403 for ONNX tensor: 403 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [403 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 403 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [403 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_7.project.weight -> (48, 288, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 72) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 48 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 404 for ONNX tensor: 404 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [404 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 404 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_7.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [404 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_7.project__BatchNorm.weight -> (48)], [MobilenetV2.expanded_conv_7.project__BatchNorm.bias -> (48)], [MobilenetV2.expanded_conv_7.project__BatchNorm.running_mean -> (48)], [MobilenetV2.expanded_conv_7.project__BatchNorm.running_var -> (48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 73) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 405 for ONNX tensor: 405 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [405 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 396 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 405 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [396 -> (1, 48, 48, 24)], [405 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 74) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 406 for ONNX tensor: 406 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [406 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 406 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [406 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_8.expand.weight -> (288, 48, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 75) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 407 for ONNX tensor: 407 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [407 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 407 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [407 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_8.expand__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_8.expand__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_8.expand__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_8.expand__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 76) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 408 for ONNX tensor: 408 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [408 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 408 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [408 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 77) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 409 for ONNX tensor: 409 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [409 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 409 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [409 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 78) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 410 for ONNX tensor: 410 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [410 -> (1, 288, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 410 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [410 -> (1, 288, 50, 26)], [MobilenetV2.expanded_conv_8.depthwise__depthwise.weight -> (288, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 79) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 411 for ONNX tensor: 411 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [411 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 411 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [411 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_8.depthwise__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_8.depthwise__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_8.depthwise__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_8.depthwise__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 80) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 412 for ONNX tensor: 412 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [412 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 412 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [412 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 81) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 413 for ONNX tensor: 413 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [413 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 413 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [413 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_8.project.weight -> (48, 288, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 82) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 48 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 414 for ONNX tensor: 414 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [414 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 414 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_8.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [414 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_8.project__BatchNorm.weight -> (48)], [MobilenetV2.expanded_conv_8.project__BatchNorm.bias -> (48)], [MobilenetV2.expanded_conv_8.project__BatchNorm.running_mean -> (48)], [MobilenetV2.expanded_conv_8.project__BatchNorm.running_var -> (48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 83) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 415 for ONNX tensor: 415 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [415 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 406 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 415 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [406 -> (1, 48, 48, 24)], [415 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 84) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 416 for ONNX tensor: 416 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [416 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 416 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [416 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_9.expand.weight -> (288, 48, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 85) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 417 for ONNX tensor: 417 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [417 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 417 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [417 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_9.expand__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_9.expand__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_9.expand__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_9.expand__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 86) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 418 for ONNX tensor: 418 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [418 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 418 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [418 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 87) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 419 for ONNX tensor: 419 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [419 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 419 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [419 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 88) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 420 for ONNX tensor: 420 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [420 -> (1, 288, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 420 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [420 -> (1, 288, 50, 26)], [MobilenetV2.expanded_conv_9.depthwise__depthwise.weight -> (288, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 89) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 421 for ONNX tensor: 421 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [421 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 421 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [421 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_9.depthwise__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_9.depthwise__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_9.depthwise__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_9.depthwise__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 90) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 422 for ONNX tensor: 422 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [422 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 422 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [422 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 91) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 423 for ONNX tensor: 423 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [423 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 423 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [423 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_9.project.weight -> (48, 288, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 92) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 48 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 424 for ONNX tensor: 424 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [424 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 424 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_9.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [424 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_9.project__BatchNorm.weight -> (48)], [MobilenetV2.expanded_conv_9.project__BatchNorm.bias -> (48)], [MobilenetV2.expanded_conv_9.project__BatchNorm.running_mean -> (48)], [MobilenetV2.expanded_conv_9.project__BatchNorm.running_var -> (48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 93) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 425 for ONNX tensor: 425 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [425 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 416 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 425 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [416 -> (1, 48, 48, 24)], [425 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 94) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 426 for ONNX tensor: 426 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [426 -> (1, 48, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 426 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [426 -> (1, 48, 48, 24)], [MobilenetV2.expanded_conv_10.expand.weight -> (288, 48, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 48, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 95) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 427 for ONNX tensor: 427 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [427 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 427 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [427 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_10.expand__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_10.expand__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_10.expand__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_10.expand__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 96) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 428 for ONNX tensor: 428 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [428 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 428 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [428 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 97) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 429 for ONNX tensor: 429 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [429 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 429 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [429 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 98) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 430 for ONNX tensor: 430 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [430 -> (1, 288, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 430 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [430 -> (1, 288, 50, 26)], [MobilenetV2.expanded_conv_10.depthwise__depthwise.weight -> (288, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 99) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 288 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 431 for ONNX tensor: 431 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [431 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 431 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [431 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_10.depthwise__BatchNorm.weight -> (288)], [MobilenetV2.expanded_conv_10.depthwise__BatchNorm.bias -> (288)], [MobilenetV2.expanded_conv_10.depthwise__BatchNorm.running_mean -> (288)], [MobilenetV2.expanded_conv_10.depthwise__BatchNorm.running_var -> (288)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 100) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 432 for ONNX tensor: 432 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [432 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 432 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [432 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 101) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 433 for ONNX tensor: 433 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [433 -> (1, 288, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 433 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [433 -> (1, 288, 48, 24)], [MobilenetV2.expanded_conv_10.project.weight -> (72, 288, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 288, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 102) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 72 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 434 for ONNX tensor: 434 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [434 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 434 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_10.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [434 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_10.project__BatchNorm.weight -> (72)], [MobilenetV2.expanded_conv_10.project__BatchNorm.bias -> (72)], [MobilenetV2.expanded_conv_10.project__BatchNorm.running_mean -> (72)], [MobilenetV2.expanded_conv_10.project__BatchNorm.running_var -> (72)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 103) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 435 for ONNX tensor: 435 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [435 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 435 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [435 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_11.expand.weight -> (432, 72, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 104) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 436 for ONNX tensor: 436 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [436 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 436 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [436 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_11.expand__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_11.expand__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_11.expand__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_11.expand__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 105) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 437 for ONNX tensor: 437 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [437 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 437 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [437 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 106) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 438 for ONNX tensor: 438 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [438 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 438 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [438 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 107) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 439 for ONNX tensor: 439 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [439 -> (1, 432, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 439 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [439 -> (1, 432, 50, 26)], [MobilenetV2.expanded_conv_11.depthwise__depthwise.weight -> (432, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 108) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 440 for ONNX tensor: 440 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [440 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 440 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [440 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_11.depthwise__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_11.depthwise__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_11.depthwise__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_11.depthwise__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 109) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 441 for ONNX tensor: 441 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [441 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 441 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [441 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 110) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 442 for ONNX tensor: 442 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [442 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 442 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [442 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_11.project.weight -> (72, 432, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 111) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 72 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 443 for ONNX tensor: 443 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [443 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 443 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_11.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [443 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_11.project__BatchNorm.weight -> (72)], [MobilenetV2.expanded_conv_11.project__BatchNorm.bias -> (72)], [MobilenetV2.expanded_conv_11.project__BatchNorm.running_mean -> (72)], [MobilenetV2.expanded_conv_11.project__BatchNorm.running_var -> (72)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 112) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 444 for ONNX tensor: 444 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [444 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 435 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 444 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [435 -> (1, 72, 48, 24)], [444 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 113) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 445 for ONNX tensor: 445 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [445 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 445 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [445 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_12.expand.weight -> (432, 72, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 114) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 446 for ONNX tensor: 446 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [446 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 446 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [446 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_12.expand__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_12.expand__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_12.expand__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_12.expand__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 115) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 447 for ONNX tensor: 447 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [447 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 447 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [447 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 116) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 448 for ONNX tensor: 448 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [448 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 448 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [448 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 117) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 449 for ONNX tensor: 449 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [449 -> (1, 432, 50, 26)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 449 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [449 -> (1, 432, 50, 26)], [MobilenetV2.expanded_conv_12.depthwise__depthwise.weight -> (432, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 50, 26) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 118) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 450 for ONNX tensor: 450 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [450 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 450 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [450 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_12.depthwise__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_12.depthwise__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_12.depthwise__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_12.depthwise__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 119) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 451 for ONNX tensor: 451 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [451 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 451 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [451 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 120) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 452 for ONNX tensor: 452 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [452 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 452 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [452 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_12.project.weight -> (72, 432, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 121) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 72 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 453 for ONNX tensor: 453 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [453 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 453 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_12.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [453 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_12.project__BatchNorm.weight -> (72)], [MobilenetV2.expanded_conv_12.project__BatchNorm.bias -> (72)], [MobilenetV2.expanded_conv_12.project__BatchNorm.running_mean -> (72)], [MobilenetV2.expanded_conv_12.project__BatchNorm.running_var -> (72)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 122) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 454 for ONNX tensor: 454 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [454 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 445 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 454 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [445 -> (1, 72, 48, 24)], [454 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 123) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 455 for ONNX tensor: 455 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [455 -> (1, 72, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 455 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [455 -> (1, 72, 48, 24)], [MobilenetV2.expanded_conv_13.expand.weight -> (432, 72, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 72, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 124) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 48, 24) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 456 for ONNX tensor: 456 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [456 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 456 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [456 -> (1, 432, 48, 24)], [MobilenetV2.expanded_conv_13.expand__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_13.expand__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_13.expand__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_13.expand__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 125) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 457 for ONNX tensor: 457 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [457 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 457 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [457 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 126) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 458 for ONNX tensor: 458 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [458 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 458 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [458 -> (1, 432, 48, 24)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 127) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 459 for ONNX tensor: 459 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [459 -> (1, 432, 49, 25)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 459 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [459 -> (1, 432, 49, 25)], [MobilenetV2.expanded_conv_13.depthwise__depthwise.weight -> (432, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 49, 25) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 128) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 432 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 432, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 460 for ONNX tensor: 460 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [460 -> (1, 432, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 460 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [460 -> (1, 432, 24, 12)], [MobilenetV2.expanded_conv_13.depthwise__BatchNorm.weight -> (432)], [MobilenetV2.expanded_conv_13.depthwise__BatchNorm.bias -> (432)], [MobilenetV2.expanded_conv_13.depthwise__BatchNorm.running_mean -> (432)], [MobilenetV2.expanded_conv_13.depthwise__BatchNorm.running_var -> (432)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 129) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 461 for ONNX tensor: 461 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [461 -> (1, 432, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 461 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [461 -> (1, 432, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 130) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 462 for ONNX tensor: 462 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [462 -> (1, 432, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 462 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [462 -> (1, 432, 24, 12)], [MobilenetV2.expanded_conv_13.project.weight -> (120, 432, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 432, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 131) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 120 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 463 for ONNX tensor: 463 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [463 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 463 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_13.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [463 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_13.project__BatchNorm.weight -> (120)], [MobilenetV2.expanded_conv_13.project__BatchNorm.bias -> (120)], [MobilenetV2.expanded_conv_13.project__BatchNorm.running_mean -> (120)], [MobilenetV2.expanded_conv_13.project__BatchNorm.running_var -> (120)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 132) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 464 for ONNX tensor: 464 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [464 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 464 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [464 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_14.expand.weight -> (720, 120, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 133) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 465 for ONNX tensor: 465 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [465 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 465 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [465 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_14.expand__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_14.expand__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_14.expand__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_14.expand__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 134) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 466 for ONNX tensor: 466 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [466 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 466 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [466 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 135) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 467 for ONNX tensor: 467 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [467 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 467 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [467 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 136) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 468 for ONNX tensor: 468 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [468 -> (1, 720, 26, 14)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 468 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [468 -> (1, 720, 26, 14)], [MobilenetV2.expanded_conv_14.depthwise__depthwise.weight -> (720, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 26, 14) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 137) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 469 for ONNX tensor: 469 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [469 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 469 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [469 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_14.depthwise__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_14.depthwise__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_14.depthwise__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_14.depthwise__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 138) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 470 for ONNX tensor: 470 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [470 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 470 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [470 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 139) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 471 for ONNX tensor: 471 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [471 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 471 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [471 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_14.project.weight -> (120, 720, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 140) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 120 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 472 for ONNX tensor: 472 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [472 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 472 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_14.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [472 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_14.project__BatchNorm.weight -> (120)], [MobilenetV2.expanded_conv_14.project__BatchNorm.bias -> (120)], [MobilenetV2.expanded_conv_14.project__BatchNorm.running_mean -> (120)], [MobilenetV2.expanded_conv_14.project__BatchNorm.running_var -> (120)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 141) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 473 for ONNX tensor: 473 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [473 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 464 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 473 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [464 -> (1, 120, 24, 12)], [473 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 142) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 474 for ONNX tensor: 474 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [474 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 474 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [474 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_15.expand.weight -> (720, 120, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 143) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 475 for ONNX tensor: 475 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [475 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 475 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [475 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_15.expand__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_15.expand__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_15.expand__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_15.expand__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 144) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 476 for ONNX tensor: 476 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [476 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 476 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [476 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 145) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 477 for ONNX tensor: 477 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [477 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 477 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [477 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 146) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 478 for ONNX tensor: 478 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [478 -> (1, 720, 26, 14)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 478 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [478 -> (1, 720, 26, 14)], [MobilenetV2.expanded_conv_15.depthwise__depthwise.weight -> (720, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 26, 14) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 147) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 479 for ONNX tensor: 479 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [479 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 479 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [479 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_15.depthwise__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_15.depthwise__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_15.depthwise__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_15.depthwise__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 148) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 480 for ONNX tensor: 480 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [480 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 480 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [480 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 149) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 481 for ONNX tensor: 481 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [481 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 481 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [481 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_15.project.weight -> (120, 720, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 150) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 120 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 482 for ONNX tensor: 482 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [482 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 482 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_15.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [482 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_15.project__BatchNorm.weight -> (120)], [MobilenetV2.expanded_conv_15.project__BatchNorm.bias -> (120)], [MobilenetV2.expanded_conv_15.project__BatchNorm.running_mean -> (120)], [MobilenetV2.expanded_conv_15.project__BatchNorm.running_var -> (120)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 151) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 483 for ONNX tensor: 483 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [483 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Add] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 474 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 483 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Add] inputs: [474 -> (1, 120, 24, 12)], [483 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 152) [ElementWise] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 484 for ONNX tensor: 484 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Add] outputs: [484 -> (1, 120, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 484 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.expand.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [484 -> (1, 120, 24, 12)], [MobilenetV2.expanded_conv_16.expand.weight -> (720, 120, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 120, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 153) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 485 for ONNX tensor: 485 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [485 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 485 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.expand__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.expand__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.expand__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.expand__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [485 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_16.expand__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_16.expand__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_16.expand__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_16.expand__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 154) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 486 for ONNX tensor: 486 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [486 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 486 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [486 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 155) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 487 for ONNX tensor: 487 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [487 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 487 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [487 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 156) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 488 for ONNX tensor: 488 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [488 -> (1, 720, 26, 14)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 488 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.depthwise__depthwise.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [488 -> (1, 720, 26, 14)], [MobilenetV2.expanded_conv_16.depthwise__depthwise.weight -> (720, 1, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 26, 14) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 157) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 720 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 489 for ONNX tensor: 489 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [489 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 489 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.depthwise__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.depthwise__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.depthwise__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.depthwise__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [489 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_16.depthwise__BatchNorm.weight -> (720)], [MobilenetV2.expanded_conv_16.depthwise__BatchNorm.bias -> (720)], [MobilenetV2.expanded_conv_16.depthwise__BatchNorm.running_mean -> (720)], [MobilenetV2.expanded_conv_16.depthwise__BatchNorm.running_var -> (720)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 158) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 490 for ONNX tensor: 490 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [490 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 490 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [490 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 159) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 491 for ONNX tensor: 491 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [491 -> (1, 720, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 491 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.project.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [491 -> (1, 720, 24, 12)], [MobilenetV2.expanded_conv_16.project.weight -> (240, 720, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 720, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 160) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 240 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 240, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 492 for ONNX tensor: 492 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [492 -> (1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 492 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.project__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.project__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.project__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: MobilenetV2.expanded_conv_16.project__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [492 -> (1, 240, 24, 12)], [MobilenetV2.expanded_conv_16.project__BatchNorm.weight -> (240)], [MobilenetV2.expanded_conv_16.project__BatchNorm.bias -> (240)], [MobilenetV2.expanded_conv_16.project__BatchNorm.running_mean -> (240)], [MobilenetV2.expanded_conv_16.project__BatchNorm.running_var -> (240)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 161) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 493 for ONNX tensor: 493 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [493 -> (1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 387 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [387 -> (1, 96, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 162) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 494 for ONNX tensor: 494 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [494 -> (1, 96, 98, 50)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 494 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [494 -> (1, 96, 98, 50)], [local_head.detector__Conv.weight -> (128, 96, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 96, 98, 50) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 163) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 128 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 495 for ONNX tensor: 495 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [495 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 495 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [495 -> (1, 128, 96, 48)], [local_head.detector__Conv__BatchNorm.weight -> (128)], [local_head.detector__Conv__BatchNorm.bias -> (128)], [local_head.detector__Conv__BatchNorm.running_mean -> (128)], [local_head.detector__Conv__BatchNorm.running_var -> (128)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 164) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 496 for ONNX tensor: 496 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [496 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 496 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [496 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 165) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 497 for ONNX tensor: 497 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [497 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 497 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [497 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 166) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 498 for ONNX tensor: 498 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [498 -> (1, 128, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 498 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv_1.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.detector__Conv_1.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [498 -> (1, 128, 96, 48)], [local_head.detector__Conv_1.weight -> (65, 128, 1, 1)], [local_head.detector__Conv_1.bias -> (65)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 128, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 167) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 65 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 65, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: local_det_1 for ONNX tensor: local_det [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [local_det -> (1, 65, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 494 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [494 -> (1, 96, 98, 50)], [local_head.descriptor__Conv.weight -> (256, 96, 3, 3)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 96, 98, 50) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 168) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 256 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 500 for ONNX tensor: 500 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [500 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 500 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [500 -> (1, 256, 96, 48)], [local_head.descriptor__Conv__BatchNorm.weight -> (256)], [local_head.descriptor__Conv__BatchNorm.bias -> (256)], [local_head.descriptor__Conv__BatchNorm.running_mean -> (256)], [local_head.descriptor__Conv__BatchNorm.running_var -> (256)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 169) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 501 for ONNX tensor: 501 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [501 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Clip] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 501 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Clip] inputs: [501 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 170) [Activation] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 502 for ONNX tensor: 502 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Clip] outputs: [502 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Pad] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 502 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Pad] inputs: [502 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 171) [Padding] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 503 for ONNX tensor: 503 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Pad] outputs: [503 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 503 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv_1.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: local_head.descriptor__Conv_1.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [503 -> (1, 256, 96, 48)], [local_head.descriptor__Conv_1.weight -> (256, 256, 1, 1)], [local_head.descriptor__Conv_1.bias -> (256)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 172) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 256 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 96, 48) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 504 for ONNX tensor: 504 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [504 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Transpose] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 504 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Transpose] inputs: [504 -> (1, 256, 96, 48)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 173) [Shuffle] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: local_desc_1 for ONNX tensor: local_desc [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Transpose] outputs: [local_desc -> (1, 96, 48, 256)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Conv] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 493 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: global_head.vlad__memberships.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Conv] inputs: [493 -> (1, 240, 24, 12)], [global_head.vlad__memberships.weight -> (32, 240, 1, 1)], [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 240, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 174) [Convolution] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32 [12/30/2020-17:48:39] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 32, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 506 for ONNX tensor: 506 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Conv] outputs: [506 -> (1, 32, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [BatchNormalization] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 506 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: global_head.vlad__memberships__BatchNorm.weight [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: global_head.vlad__memberships__BatchNorm.bias [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: global_head.vlad__memberships__BatchNorm.running_mean [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: global_head.vlad__memberships__BatchNorm.running_var [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [BatchNormalization] inputs: [506 -> (1, 32, 24, 12)], [global_head.vlad__memberships__BatchNorm.weight -> (32)], [global_head.vlad__memberships__BatchNorm.bias -> (32)], [global_head.vlad__memberships__BatchNorm.running_mean -> (32)], [global_head.vlad__memberships__BatchNorm.running_var -> (32)], [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 175) [Scale] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: memberships_1 for ONNX tensor: memberships [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [BatchNormalization] outputs: [memberships -> (1, 32, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Unsqueeze] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 493 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Unsqueeze] inputs: [493 -> (1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] onnx2trt_utils.cpp:1793: Original shape: (1, 240, 24, 12), unsqueezing to: (1, 1, 240, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 176) [Shuffle] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 508 for ONNX tensor: 508 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Unsqueeze] outputs: [508 -> (1, 1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:103: Parsing node: [Squeeze] [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:119: Searching for input: 508 [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:125: [Squeeze] inputs: [508 -> (1, 1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] onnx2trt_utils.cpp:1641: Original shape: (1, 1, 240, 24, 12), squeezing to: (1, 240, 24, 12) [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:141: Registering layer: (Unnamed Layer* 177) [Shuffle] for ONNX node: [12/30/2020-17:48:39] [V] [TRT] ImporterContext.hpp:116: Registering tensor: feature_map_1 for ONNX tensor: feature_map [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:179: [Squeeze] outputs: [feature_map -> (1, 240, 24, 12)], [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:507: Marking local_det_1 as output: local_det [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:507: Marking local_desc_1 as output: local_desc [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:507: Marking memberships_1 as output: memberships [12/30/2020-17:48:39] [V] [TRT] ModelImporter.cpp:507: Marking feature_map_1 as output: feature_map ----- Parsing of ONNX model hfnet_core.onnx is Done ---- [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 0) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 4) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 13) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 22) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 32) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 41) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 50) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 59) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 68) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 78) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 88) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 98) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 107) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 117) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 127) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 136) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 146) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 156) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 162) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 166) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 171) [Padding] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 173) [Shuffle] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 176) [Shuffle] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [W] [TRT] Default DLA is enabled but layer (Unnamed Layer* 177) [Shuffle] is not supported on DLA, falling back to GPU. [12/30/2020-17:48:39] [V] [TRT] Applying generic optimizations to the graph for inference. [12/30/2020-17:48:39] [V] [TRT] Original: 178 layers [12/30/2020-17:48:39] [V] [TRT] After dead-layer removal: 178 layers [12/30/2020-17:48:39] [V] [TRT] Removing (Unnamed Layer* 166) [Padding] [12/30/2020-17:48:39] [V] [TRT] Removing (Unnamed Layer* 171) [Padding] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 147) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 5) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 14) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 33) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 42) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 51) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 99) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 128) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 157) [Convolution] [12/30/2020-17:48:40] [W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer (Unnamed Layer* 1) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 23) [Convolution] with scale (Unnamed Layer* 24) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 26) [Convolution] with scale (Unnamed Layer* 27) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 29) [Convolution] with scale (Unnamed Layer* 30) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 60) [Convolution] with scale (Unnamed Layer* 61) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 63) [Convolution] with scale (Unnamed Layer* 64) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 65) [Convolution] with scale (Unnamed Layer* 66) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 163) [Convolution] with scale (Unnamed Layer* 164) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 168) [Convolution] with scale (Unnamed Layer* 169) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 69) [Convolution] with scale (Unnamed Layer* 70) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 72) [Convolution] with scale (Unnamed Layer* 73) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 75) [Convolution] with scale (Unnamed Layer* 76) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 79) [Convolution] with scale (Unnamed Layer* 80) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 82) [Convolution] with scale (Unnamed Layer* 83) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 85) [Convolution] with scale (Unnamed Layer* 86) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 89) [Convolution] with scale (Unnamed Layer* 90) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 92) [Convolution] with scale (Unnamed Layer* 93) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 95) [Convolution] with scale (Unnamed Layer* 96) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 108) [Convolution] with scale (Unnamed Layer* 109) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 111) [Convolution] with scale (Unnamed Layer* 112) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 114) [Convolution] with scale (Unnamed Layer* 115) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 118) [Convolution] with scale (Unnamed Layer* 119) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 121) [Convolution] with scale (Unnamed Layer* 122) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 124) [Convolution] with scale (Unnamed Layer* 125) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 137) [Convolution] with scale (Unnamed Layer* 138) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 140) [Convolution] with scale (Unnamed Layer* 141) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 143) [Convolution] with scale (Unnamed Layer* 144) [Scale] [12/30/2020-17:48:40] [V] [TRT] After DLA optimization: 109 layers [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 176) [Shuffle] with (Unnamed Layer* 177) [Shuffle] [12/30/2020-17:48:40] [V] [TRT] Removing (Unnamed Layer* 176) [Shuffle] + (Unnamed Layer* 177) [Shuffle] [12/30/2020-17:48:40] [V] [TRT] After Myelin optimization: 108 layers [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 1) [Convolution] with scale (Unnamed Layer* 2) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 5) [Convolution] with scale (Unnamed Layer* 6) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 8) [Convolution] with scale (Unnamed Layer* 9) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 10) [Convolution] with scale (Unnamed Layer* 11) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 14) [Convolution] with scale (Unnamed Layer* 15) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 17) [Convolution] with scale (Unnamed Layer* 18) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 19) [Convolution] with scale (Unnamed Layer* 20) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 33) [Convolution] with scale (Unnamed Layer* 34) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 36) [Convolution] with scale (Unnamed Layer* 37) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 38) [Convolution] with scale (Unnamed Layer* 39) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 42) [Convolution] with scale (Unnamed Layer* 43) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 45) [Convolution] with scale (Unnamed Layer* 46) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 47) [Convolution] with scale (Unnamed Layer* 48) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 51) [Convolution] with scale (Unnamed Layer* 52) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 54) [Convolution] with scale (Unnamed Layer* 55) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 56) [Convolution] with scale (Unnamed Layer* 57) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 99) [Convolution] with scale (Unnamed Layer* 100) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 102) [Convolution] with scale (Unnamed Layer* 103) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 104) [Convolution] with scale (Unnamed Layer* 105) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 128) [Convolution] with scale (Unnamed Layer* 129) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 131) [Convolution] with scale (Unnamed Layer* 132) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 133) [Convolution] with scale (Unnamed Layer* 134) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 147) [Convolution] with scale (Unnamed Layer* 148) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 150) [Convolution] with scale (Unnamed Layer* 151) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 153) [Convolution] with scale (Unnamed Layer* 154) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 157) [Convolution] with scale (Unnamed Layer* 158) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 160) [Convolution] with scale (Unnamed Layer* 161) [Scale] [12/30/2020-17:48:40] [V] [TRT] Fusing convolution weights from (Unnamed Layer* 174) [Convolution] with scale (Unnamed Layer* 175) [Scale] [12/30/2020-17:48:40] [V] [TRT] After scale fusion: 80 layers [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 0) [Padding] with (Unnamed Layer* 1) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 4) [Padding] with (Unnamed Layer* 5) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 13) [Padding] with (Unnamed Layer* 14) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 32) [Padding] with (Unnamed Layer* 33) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 41) [Padding] with (Unnamed Layer* 42) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 50) [Padding] with (Unnamed Layer* 51) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 98) [Padding] with (Unnamed Layer* 99) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 127) [Padding] with (Unnamed Layer* 128) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 146) [Padding] with (Unnamed Layer* 147) [Convolution] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 150) [Convolution] with (Unnamed Layer* 152) [ElementWise] [12/30/2020-17:48:40] [V] [TRT] Fusing (Unnamed Layer* 156) [Padding] with (Unnamed Layer* 157) [Convolution] [12/30/2020-17:48:40] [V] [TRT] After vertical fusions: 69 layers [12/30/2020-17:48:40] [V] [TRT] After final dead-layer removal: 69 layers [12/30/2020-17:48:40] [V] [TRT] After tensor merging: 69 layers [12/30/2020-17:48:40] [V] [TRT] After concat removal: 69 layers [12/30/2020-17:48:40] [V] [TRT] Graph construction and optimization completed in 1.30276 seconds. [12/30/2020-17:48:40] [I] [TRT] [12/30/2020-17:48:40] [I] [TRT] --------------- Layers running on DLA: [12/30/2020-17:48:40] [I] [TRT] {(Unnamed Layer* 23) [Convolution],(Unnamed Layer* 24) [Scale],(Unnamed Layer* 25) [Activation],(Unnamed Layer* 26) [Convolution],(Unnamed Layer* 27) [Scale],(Unnamed Layer* 28) [ElementWise],(Unnamed Layer* 29) [Convolution],(Unnamed Layer* 30) [Scale],(Unnamed Layer* 31) [Activation]}, {(Unnamed Layer* 60) [Convolution],(Unnamed Layer* 61) [Scale],(Unnamed Layer* 62) [Activation],(Unnamed Layer* 63) [Convolution],(Unnamed Layer* 64) [Scale],(Unnamed Layer* 65) [Convolution],(Unnamed Layer* 66) [Scale],(Unnamed Layer* 67) [Activation],(Unnamed Layer* 163) [Convolution],(Unnamed Layer* 164) [Scale],(Unnamed Layer* 165) [Activation],(Unnamed Layer* 167) [Convolution],(Unnamed Layer* 168) [Convolution],(Unnamed Layer* 169) [Scale],(Unnamed Layer* 170) [Activation],(Unnamed Layer* 172) [Convolution]}, {(Unnamed Layer* 69) [Convolution],(Unnamed Layer* 70) [Scale],(Unnamed Layer* 71) [Activation],(Unnamed Layer* 72) [Convolution],(Unnamed Layer* 73) [Scale],(Unnamed Layer* 74) [ElementWise],(Unnamed Layer* 75) [Convolution],(Unnamed Layer* 76) [Scale],(Unnamed Layer* 77) [Activation]}, {(Unnamed Layer* 79) [Convolution],(Unnamed Layer* 80) [Scale],(Unnamed Layer* 81) [Activation],(Unnamed Layer* 82) [Convolution],(Unnamed Layer* 83) [Scale],(Unnamed Layer* 84) [ElementWise],(Unnamed Layer* 85) [Convolution],(Unnamed Layer* 86) [Scale],(Unnamed Layer* 87) [Activation]}, {(Unnamed Layer* 89) [Convolution],(Unnamed Layer* 90) [Scale],(Unnamed Layer* 91) [Activation],(Unnamed Layer* 92) [Convolution],(Unnamed Layer* 93) [Scale],(Unnamed Layer* 94) [ElementWise],(Unnamed Layer* 95) [Convolution],(Unnamed Layer* 96) [Scale],(Unnamed Layer* 97) [Activation]}, {(Unnamed Layer* 108) [Convolution],(Unnamed Layer* 109) [Scale],(Unnamed Layer* 110) [Activation],(Unnamed Layer* 111) [Convolution],(Unnamed Layer* 112) [Scale],(Unnamed Layer* 113) [ElementWise],(Unnamed Layer* 114) [Convolution],(Unnamed Layer* 115) [Scale],(Unnamed Layer* 116) [Activation]}, {(Unnamed Layer* 118) [Convolution],(Unnamed Layer* 119) [Scale],(Unnamed Layer* 120) [Activation],(Unnamed Layer* 121) [Convolution],(Unnamed Layer* 122) [Scale],(Unnamed Layer* 123) [ElementWise],(Unnamed Layer* 124) [Convolution],(Unnamed Layer* 125) [Scale],(Unnamed Layer* 126) [Activation]}, {(Unnamed Layer* 137) [Convolution],(Unnamed Layer* 138) [Scale],(Unnamed Layer* 139) [Activation],(Unnamed Layer* 140) [Convolution],(Unnamed Layer* 141) [Scale],(Unnamed Layer* 142) [ElementWise],(Unnamed Layer* 143) [Convolution],(Unnamed Layer* 144) [Scale],(Unnamed Layer* 145) [Activation]}, [12/30/2020-17:48:40] [I] [TRT] --------------- Layers running on GPU: [12/30/2020-17:48:40] [I] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution], (Unnamed Layer* 3) [Activation], (Unnamed Layer* 4) [Padding] + (Unnamed Layer* 5) [Convolution], (Unnamed Layer* 7) [Activation], (Unnamed Layer* 8) [Convolution], (Unnamed Layer* 10) [Convolution], (Unnamed Layer* 12) [Activation], (Unnamed Layer* 13) [Padding] + (Unnamed Layer* 14) [Convolution], (Unnamed Layer* 16) [Activation], (Unnamed Layer* 17) [Convolution], (Unnamed Layer* 19) [Convolution], (Unnamed Layer* 21) [Activation], (Unnamed Layer* 22) [Padding], (Unnamed Layer* 32) [Padding] + (Unnamed Layer* 33) [Convolution], (Unnamed Layer* 35) [Activation], (Unnamed Layer* 36) [Convolution], (Unnamed Layer* 38) [Convolution], (Unnamed Layer* 40) [Activation], (Unnamed Layer* 41) [Padding] + (Unnamed Layer* 42) [Convolution], (Unnamed Layer* 44) [Activation], (Unnamed Layer* 45) [Convolution], (Unnamed Layer* 47) [Convolution], (Unnamed Layer* 49) [Activation], (Unnamed Layer* 50) [Padding] + (Unnamed Layer* 51) [Convolution], (Unnamed Layer* 53) [Activation], (Unnamed Layer* 54) [Convolution], (Unnamed Layer* 56) [Convolution], (Unnamed Layer* 58) [Activation], (Unnamed Layer* 59) [Padding], (Unnamed Layer* 162) [Padding], (Unnamed Layer* 68) [Padding], (Unnamed Layer* 173) [Shuffle], (Unnamed Layer* 78) [Padding], (Unnamed Layer* 88) [Padding], (Unnamed Layer* 98) [Padding] + (Unnamed Layer* 99) [Convolution], (Unnamed Layer* 101) [Activation], (Unnamed Layer* 102) [Convolution], (Unnamed Layer* 104) [Convolution], (Unnamed Layer* 106) [Activation], (Unnamed Layer* 107) [Padding], (Unnamed Layer* 117) [Padding], (Unnamed Layer* 127) [Padding] + (Unnamed Layer* 128) [Convolution], (Unnamed Layer* 130) [Activation], (Unnamed Layer* 131) [Convolution], (Unnamed Layer* 133) [Convolution], (Unnamed Layer* 135) [Activation], (Unnamed Layer* 136) [Padding], (Unnamed Layer* 146) [Padding] + (Unnamed Layer* 147) [Convolution], (Unnamed Layer* 149) [Activation], (Unnamed Layer* 150) [Convolution] + (Unnamed Layer* 152) [ElementWise], (Unnamed Layer* 153) [Convolution], (Unnamed Layer* 155) [Activation], (Unnamed Layer* 156) [Padding] + (Unnamed Layer* 157) [Convolution], (Unnamed Layer* 159) [Activation], (Unnamed Layer* 160) [Convolution], (Unnamed Layer* 174) [Convolution], (Unnamed Layer* 176) [Shuffle] + (Unnamed Layer* 177) [Shuffle], [12/30/2020-17:48:43] [V] [TRT] Constructing optimization profile number 0 [1/1]. [12/30/2020-17:48:43] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:43] [V] [TRT] Tactic: 1002 time 0.361052 [12/30/2020-17:48:43] [V] [TRT] Tactic: 0 time 0.646372 [12/30/2020-17:48:43] [V] [TRT] Fastest Tactic: 1002 Time: 0.361052 [12/30/2020-17:48:43] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:43] [V] [TRT] Tactic: 1002 time 3.61877 [12/30/2020-17:48:43] [V] [TRT] Tactic: 0 time 0.154316 [12/30/2020-17:48:43] [V] [TRT] Fastest Tactic: 0 Time: 0.154316 [12/30/2020-17:48:43] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:43] [V] [TRT] Tactic: 1002 time 3.23856 [12/30/2020-17:48:43] [V] [TRT] Tactic: 0 time 0.244584 [12/30/2020-17:48:43] [V] [TRT] Fastest Tactic: 0 Time: 0.244584 [12/30/2020-17:48:43] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:43] [V] [TRT] Tactic: 1002 time 3.14623 [12/30/2020-17:48:43] [V] [TRT] Tactic: 0 time 0.286144 [12/30/2020-17:48:43] [V] [TRT] Fastest Tactic: 0 Time: 0.286144 [12/30/2020-17:48:43] [V] [TRT] *************** Autotuning format combination: Float(1,384,294912,294912) -> Float(1,192,73728,1769472) *************** [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_medium_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_xregs_large_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_small_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_xregs_large_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_small_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_medium_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_medium_nn_v1 [12/30/2020-17:48:43] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_small_nn_v1 [12/30/2020-17:48:44] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:44] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:44] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_medium_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: 1825138533642645384 time 1.19207 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_xregs_large_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: 2842488832350522458 time 0.675544 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_small_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: 3915320020053085238 time 1.18333 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_xregs_large_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: 6448355332020552203 time 1.82755 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_small_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: 6808617066150061604 time 0.562092 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_medium_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: -8060443123034038864 time 0.576136 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_medium_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: -4420849921117327522 time 0.371704 [12/30/2020-17:48:44] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_small_nn_v1 [12/30/2020-17:48:44] [V] [TRT] Tactic: -3946921629105938337 time 0.297516 [12/30/2020-17:48:44] [V] [TRT] Fastest Tactic: -3946921629105938337 Time: 0.297516 [12/30/2020-17:48:44] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:45] [V] [TRT] Tactic: 0 time 0.9073 [12/30/2020-17:48:45] [V] [TRT] Tactic: 2 time 0.975188 [12/30/2020-17:48:45] [V] [TRT] Tactic: 5 time 32.1104 [12/30/2020-17:48:45] [V] [TRT] Tactic: 57 time 0.708304 [12/30/2020-17:48:45] [V] [TRT] Fastest Tactic: 57 Time: 0.708304 [12/30/2020-17:48:45] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:45] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:45] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskConvolution Tactic: -3946921629105938337 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_small_nn_v1 [12/30/2020-17:48:45] [V] [TRT] [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_medium_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_xregs_large_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_small_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x128_relu_xregs_large_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_small_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x64_relu_medium_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_medium_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_small_nn_v1 [12/30/2020-17:48:45] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (scudnn) Set Tactic Name: volta_scudnn_128x32_relu_small_nn_v1 [12/30/2020-17:48:45] [V] [TRT] *************** Autotuning format combination: Half(1,384,294912,294912) -> Half(1,192,73728,1769472) *************** [12/30/2020-17:48:45] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:45] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:45] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:45] [V] [TRT] CaskConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:45] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:45] [V] [TRT] Tactic: 0 time 0.696504 [12/30/2020-17:48:45] [V] [TRT] Tactic: 1 time 0.653052 [12/30/2020-17:48:45] [V] [TRT] Tactic: 2 time 0.780608 [12/30/2020-17:48:46] [V] [TRT] Tactic: 5 time 31.8249 [12/30/2020-17:48:46] [V] [TRT] Fastest Tactic: 1 Time: 0.653052 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CudaConvolution Tactic: 1 [12/30/2020-17:48:46] [V] [TRT] [12/30/2020-17:48:46] [V] [TRT] *************** Autotuning format combination: Half(1,384,294912:2,294912) -> Half(1,192,73728:2,884736) *************** [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:46] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 1145226902788474763 time 0.447184 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 2418518597804310654 time 0.451572 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 8292881859266835088 time 0.303248 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 8401509141903434922 time 0.444996 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -8654297089785671176 time 1.30731 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -7448936905981214224 time 0.301888 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -3689982367035295496 time 1.31216 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -2027588946874785071 time 0.30512 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -245090590808296743 time 1.31697 [12/30/2020-17:48:46] [V] [TRT] Fastest Tactic: -7448936905981214224 Time: 0.301888 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskConvolution Tactic: -7448936905981214224 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x64_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_medium_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_small_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x128_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (hcudnn) Set Tactic Name: volta_fp16x2_hcudnn_fp16x2_128x32_relu_large_nn_v1 [12/30/2020-17:48:46] [V] [TRT] *************** Autotuning format combination: Half(1,384,1:4,294912) -> Half(3,576,1:8,221184) *************** [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:46] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:46] [V] [TRT] CaskConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] *************** Autotuning format combination: Half(1,384,1:8,294912) -> Float(1,192,73728,1769472) *************** [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:46] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:46] [V] [TRT] CaskConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] *************** Autotuning format combination: Half(1,384,1:8,294912) -> Half(3,576,1:8,221184) *************** [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (FusedConvActConvolution) [12/30/2020-17:48:46] [V] [TRT] FusedConvActConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CaskConvolution) [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 3754069740140581927 time 1.57099 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 5925270497649423688 time 1.62436 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 6680916730816870145 time 1.84017 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 7158029511300006471 time 0.824748 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 7859952145590271433 time 1.7975 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: 8283847742354150423 time 1.60496 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -4534876761957424274 time 1.60246 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] Tactic: -3237051169894153788 time 0.80764 [12/30/2020-17:48:46] [V] [TRT] Fastest Tactic: -3237051169894153788 Time: 0.80764 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (CudaDepthwiseConvolution) [12/30/2020-17:48:46] [V] [TRT] CudaDepthwiseConvolution has no valid tactics for this config, skipping [12/30/2020-17:48:46] [V] [TRT] >>>>>>>>>>>>>>> Chose Runner Type: CaskConvolution Tactic: -3237051169894153788 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_sliced1x2_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_128x128_ldg8_relu_exp_medium_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x128_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] (Unnamed Layer* 0) [Padding] + (Unnamed Layer* 1) [Convolution] (h884cudnn) Set Tactic Name: volta_h884cudnn_256x64_ldg8_relu_exp_small_nhwc_tn_v1 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:46] [V] [TRT] Tactic: 1002 time 0.430228 [12/30/2020-17:48:46] [V] [TRT] Tactic: 0 time 0.51484 [12/30/2020-17:48:46] [V] [TRT] Fastest Tactic: 1002 Time: 0.430228 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:46] [V] [TRT] Tactic: 1002 time 1.01809 [12/30/2020-17:48:46] [V] [TRT] Tactic: 0 time 0.254372 [12/30/2020-17:48:46] [V] [TRT] Fastest Tactic: 0 Time: 0.254372 [12/30/2020-17:48:46] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:46] [V] [TRT] Tactic: 1002 time 0.8863 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.239568 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.239568 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 0.483332 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.500812 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 1002 Time: 0.483332 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 1.02414 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.232444 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.232444 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 0.90402 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.237792 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.237792 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 1.12358 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.2964 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.2964 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 1.12369 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.210016 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.210016 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 0.892492 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.197808 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.197808 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 1.14796 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.22902 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.22902 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 1.15942 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.157332 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.157332 [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Reformat) [12/30/2020-17:48:47] [V] [TRT] Tactic: 1002 time 0.978584 [12/30/2020-17:48:47] [V] [TRT] Tactic: 0 time 0.154568 [12/30/2020-17:48:47] [V] [TRT] Fastest Tactic: 0 Time: 0.154568 [12/30/2020-17:48:47] [V] [TRT] *************** Autotuning format combination: Float(1,192,73728,1769472) -> Float(1,192,73728,1769472) *************** [12/30/2020-17:48:47] [V] [TRT] --------------- Timing Runner: (Unnamed Layer* 3) [Activation] (Activation) [12/30/2020-17:48:47] [V] [TRT] Builder timing cache: created 20 entries, 0 hit(s) [12/30/2020-17:48:47] [E] [TRT] ../rtSafe/cuda/cudaActivationRunner.cpp (38) - Assertion Error in getCudnnActivationMode: 0 (This activation type is not handled in this layer) [12/30/2020-17:48:47] [E] Engine creation failed [12/30/2020-17:48:47] [E] Engine set up failed &&&& FAILED TensorRT.trtexec # trtexec --onnx=model.onnx --useDLACore=0 --allowGPUFallback --verbose