&&&& RUNNING TensorRT.trtexec # /usr/src/tensorrt/bin/trtexec --onnx=custom-yolov4-tiny_human1-608.onnx --explicitBatch --saveEngine=custom-yolov4-tiny_human1-608.engine --workspace=4096 --fp16 --verbose
[04/27/2021-11:25:33] [I] === Model Options ===
[04/27/2021-11:25:33] [I] Format: ONNX
[04/27/2021-11:25:33] [I] Model: custom-yolov4-tiny_human1-608.onnx
[04/27/2021-11:25:33] [I] Output:
[04/27/2021-11:25:33] [I] === Build Options ===
[04/27/2021-11:25:33] [I] Max batch: explicit
[04/27/2021-11:25:33] [I] Workspace: 4096 MB
[04/27/2021-11:25:33] [I] minTiming: 1
[04/27/2021-11:25:33] [I] avgTiming: 8
[04/27/2021-11:25:33] [I] Precision: FP32+FP16
[04/27/2021-11:25:33] [I] Calibration:
[04/27/2021-11:25:33] [I] Safe mode: Disabled
[04/27/2021-11:25:33] [I] Save engine: custom-yolov4-tiny_human1-608.engine
[04/27/2021-11:25:33] [I] Load engine:
[04/27/2021-11:25:33] [I] Builder Cache: Enabled
[04/27/2021-11:25:33] [I] NVTX verbosity: 0
[04/27/2021-11:25:33] [I] Inputs format: fp32:CHW
[04/27/2021-11:25:33] [I] Outputs format: fp32:CHW
[04/27/2021-11:25:33] [I] Input build shapes: model
[04/27/2021-11:25:33] [I] Input calibration shapes: model
[04/27/2021-11:25:33] [I] === System Options ===
[04/27/2021-11:25:33] [I] Device: 0
[04/27/2021-11:25:33] [I] DLACore:
[04/27/2021-11:25:33] [I] Plugins:
[04/27/2021-11:25:33] [I] === Inference Options ===
[04/27/2021-11:25:33] [I] Batch: Explicit
[04/27/2021-11:25:33] [I] Input inference shapes: model
[04/27/2021-11:25:33] [I] Iterations: 10
[04/27/2021-11:25:33] [I] Duration: 3s (+ 200ms warm up)
[04/27/2021-11:25:33] [I] Sleep time: 0ms
[04/27/2021-11:25:33] [I] Streams: 1
[04/27/2021-11:25:33] [I] ExposeDMA: Disabled
[04/27/2021-11:25:33] [I] Spin-wait: Disabled
[04/27/2021-11:25:33] [I] Multithreading: Disabled
[04/27/2021-11:25:33] [I] CUDA Graph: Disabled
[04/27/2021-11:25:33] [I] Skip inference: Disabled
[04/27/2021-11:25:33] [I] Inputs:
[04/27/2021-11:25:33] [I] === Reporting Options ===
[04/27/2021-11:25:33] [I] Verbose: Enabled
[04/27/2021-11:25:33] [I] Averages: 10 inferences
[04/27/2021-11:25:33] [I] Percentile: 99
[04/27/2021-11:25:33] [I] Dump output: Disabled
[04/27/2021-11:25:33] [I] Profile: Disabled
[04/27/2021-11:25:33] [I] Export timing to JSON file:
[04/27/2021-11:25:33] [I] Export output to JSON file:
[04/27/2021-11:25:33] [I] Export profile to JSON file:
[04/27/2021-11:25:33] [I]
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::GridAnchor_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::NMS_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Reorg_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Region_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Clip_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::LReLU_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::PriorBox_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Normalize_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::RPROI_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::BatchedNMS_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::FlattenConcat_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::CropAndResize version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::DetectionLayer_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Proposal version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::ProposalLayer_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::PyramidROIAlign_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::ResizeNearest_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::Split version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::SpecialSlice_TRT version 1
[04/27/2021-11:25:33] [V] [TRT] Registered plugin creator - ::InstanceNormalization_TRT version 1
Input filename: custom-yolov4-tiny_human1-608.onnx
ONNX IR version: 0.0.4
Opset version: 9
Producer name: NVIDIA TensorRT sample
Producer version:
Domain:
Model version: 0
Doc string:
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::GridAnchor_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::NMS_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Reorg_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Region_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Clip_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::LReLU_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::PriorBox_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Normalize_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::RPROI_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::BatchedNMS_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::FlattenConcat_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::CropAndResize version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::DetectionLayer_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Proposal version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::ProposalLayer_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::PyramidROIAlign_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::ResizeNearest_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::Split version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::SpecialSlice_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] Plugin creator already registered - ::InstanceNormalization_TRT version 1
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:202: Adding network input: 000_net with dtype: float32, dimensions: (1, 3, 608, 608)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 000_net for ONNX tensor: 000_net
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 001_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 001_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 001_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 001_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 001_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 002_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 002_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 002_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 002_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 002_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 003_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 003_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 003_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 003_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 003_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 005_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 005_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 005_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 005_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 005_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 006_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 006_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 006_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 006_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 006_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 008_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 008_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 008_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 008_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 008_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 011_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 011_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 011_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 011_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 011_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 013_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 013_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 013_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 013_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 013_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 014_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 014_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 014_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 014_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 014_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 016_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 016_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 016_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 016_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 016_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 019_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 019_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 019_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 019_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 019_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 021_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 021_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 021_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 021_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 021_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 022_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 022_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 022_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 022_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 022_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 024_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 024_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 024_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 024_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 024_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 027_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 027_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 027_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 027_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 027_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 028_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 028_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 028_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 028_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 028_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 029_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 029_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 029_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 029_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 029_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 030_convolutional_conv_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 030_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 033_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 033_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 033_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 033_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 033_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 034_upsample_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 036_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 036_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 036_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 036_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 036_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 037_convolutional_conv_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 037_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 001_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 000_net
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 001_convolutional [Conv] inputs: [000_net → (1, 3, 608, 608)], [001_convolutional_conv_weights → (32, 3, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 3, 608, 608)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 001_convolutional for ONNX node: 001_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 32, 304, 304)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 001_convolutional for ONNX tensor: 001_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 001_convolutional [Conv] outputs: [001_convolutional → (1, 32, 304, 304)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 001_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 001_convolutional_bn [BatchNormalization] inputs: [001_convolutional → (1, 32, 304, 304)], [001_convolutional_bn_scale → (32)], [001_convolutional_bn_bias → (32)], [001_convolutional_bn_mean → (32)], [001_convolutional_bn_var → (32)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 001_convolutional_bn for ONNX node: 001_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 001_convolutional_bn for ONNX tensor: 001_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 001_convolutional_bn [BatchNormalization] outputs: [001_convolutional_bn → (1, 32, 304, 304)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 001_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 001_convolutional_lrelu [LeakyRelu] inputs: [001_convolutional_bn → (1, 32, 304, 304)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 001_convolutional_lrelu for ONNX node: 001_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 001_convolutional_lrelu for ONNX tensor: 001_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 001_convolutional_lrelu [LeakyRelu] outputs: [001_convolutional_lrelu → (1, 32, 304, 304)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 002_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 001_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 002_convolutional [Conv] inputs: [001_convolutional_lrelu → (1, 32, 304, 304)], [002_convolutional_conv_weights → (64, 32, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 32, 304, 304)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 002_convolutional for ONNX node: 002_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (2, 2), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 64, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 002_convolutional for ONNX tensor: 002_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 002_convolutional [Conv] outputs: [002_convolutional → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 002_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 002_convolutional_bn [BatchNormalization] inputs: [002_convolutional → (1, 64, 152, 152)], [002_convolutional_bn_scale → (64)], [002_convolutional_bn_bias → (64)], [002_convolutional_bn_mean → (64)], [002_convolutional_bn_var → (64)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 002_convolutional_bn for ONNX node: 002_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 002_convolutional_bn for ONNX tensor: 002_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 002_convolutional_bn [BatchNormalization] outputs: [002_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 002_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 002_convolutional_lrelu [LeakyRelu] inputs: [002_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 002_convolutional_lrelu for ONNX node: 002_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 002_convolutional_lrelu for ONNX tensor: 002_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 002_convolutional_lrelu [LeakyRelu] outputs: [002_convolutional_lrelu → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 003_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 002_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 003_convolutional [Conv] inputs: [002_convolutional_lrelu → (1, 64, 152, 152)], [003_convolutional_conv_weights → (64, 64, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 64, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 003_convolutional for ONNX node: 003_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 64, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 003_convolutional for ONNX tensor: 003_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 003_convolutional [Conv] outputs: [003_convolutional → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 003_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 003_convolutional_bn [BatchNormalization] inputs: [003_convolutional → (1, 64, 152, 152)], [003_convolutional_bn_scale → (64)], [003_convolutional_bn_bias → (64)], [003_convolutional_bn_mean → (64)], [003_convolutional_bn_var → (64)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 003_convolutional_bn for ONNX node: 003_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 003_convolutional_bn for ONNX tensor: 003_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 003_convolutional_bn [BatchNormalization] outputs: [003_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 003_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 003_convolutional_lrelu [LeakyRelu] inputs: [003_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 003_convolutional_lrelu for ONNX node: 003_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 003_convolutional_lrelu for ONNX tensor: 003_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 003_convolutional_lrelu [LeakyRelu] outputs: [003_convolutional_lrelu → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 004_route [Split]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 004_route [Split] inputs: [003_convolutional_lrelu → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 004_route for ONNX node: 004_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 004_route for ONNX node: 004_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 004_route_dummy0 for ONNX tensor: 004_route_dummy0
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 004_route for ONNX tensor: 004_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 004_route [Split] outputs: [004_route_dummy0 → (1, 32, 152, 152)], [004_route → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 005_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 004_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 005_convolutional [Conv] inputs: [004_route → (1, 32, 152, 152)], [005_convolutional_conv_weights → (32, 32, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 32, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 005_convolutional for ONNX node: 005_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 32, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 005_convolutional for ONNX tensor: 005_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 005_convolutional [Conv] outputs: [005_convolutional → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 005_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 005_convolutional_bn [BatchNormalization] inputs: [005_convolutional → (1, 32, 152, 152)], [005_convolutional_bn_scale → (32)], [005_convolutional_bn_bias → (32)], [005_convolutional_bn_mean → (32)], [005_convolutional_bn_var → (32)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 005_convolutional_bn for ONNX node: 005_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 005_convolutional_bn for ONNX tensor: 005_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 005_convolutional_bn [BatchNormalization] outputs: [005_convolutional_bn → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 005_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 005_convolutional_lrelu [LeakyRelu] inputs: [005_convolutional_bn → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 005_convolutional_lrelu for ONNX node: 005_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 005_convolutional_lrelu for ONNX tensor: 005_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 005_convolutional_lrelu [LeakyRelu] outputs: [005_convolutional_lrelu → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 006_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 006_convolutional [Conv] inputs: [005_convolutional_lrelu → (1, 32, 152, 152)], [006_convolutional_conv_weights → (32, 32, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 32, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 006_convolutional for ONNX node: 006_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 32
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 32, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 006_convolutional for ONNX tensor: 006_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 006_convolutional [Conv] outputs: [006_convolutional → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 006_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 006_convolutional_bn [BatchNormalization] inputs: [006_convolutional → (1, 32, 152, 152)], [006_convolutional_bn_scale → (32)], [006_convolutional_bn_bias → (32)], [006_convolutional_bn_mean → (32)], [006_convolutional_bn_var → (32)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 006_convolutional_bn for ONNX node: 006_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 006_convolutional_bn for ONNX tensor: 006_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 006_convolutional_bn [BatchNormalization] outputs: [006_convolutional_bn → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 006_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 006_convolutional_lrelu [LeakyRelu] inputs: [006_convolutional_bn → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 006_convolutional_lrelu for ONNX node: 006_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 006_convolutional_lrelu for ONNX tensor: 006_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 006_convolutional_lrelu [LeakyRelu] outputs: [006_convolutional_lrelu → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 007_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 006_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 005_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 007_route [Concat] inputs: [006_convolutional_lrelu → (1, 32, 152, 152)], [005_convolutional_lrelu → (1, 32, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 007_route for ONNX node: 007_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 007_route for ONNX tensor: 007_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 007_route [Concat] outputs: [007_route → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 008_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 007_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 008_convolutional [Conv] inputs: [007_route → (1, 64, 152, 152)], [008_convolutional_conv_weights → (64, 64, 1, 1)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 64, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 008_convolutional for ONNX node: 008_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 64, 152, 152)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 008_convolutional for ONNX tensor: 008_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 008_convolutional [Conv] outputs: [008_convolutional → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 008_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 008_convolutional_bn [BatchNormalization] inputs: [008_convolutional → (1, 64, 152, 152)], [008_convolutional_bn_scale → (64)], [008_convolutional_bn_bias → (64)], [008_convolutional_bn_mean → (64)], [008_convolutional_bn_var → (64)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 008_convolutional_bn for ONNX node: 008_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 008_convolutional_bn for ONNX tensor: 008_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 008_convolutional_bn [BatchNormalization] outputs: [008_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 008_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 008_convolutional_lrelu [LeakyRelu] inputs: [008_convolutional_bn → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 008_convolutional_lrelu for ONNX node: 008_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 008_convolutional_lrelu for ONNX tensor: 008_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 008_convolutional_lrelu [LeakyRelu] outputs: [008_convolutional_lrelu → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 009_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 003_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 008_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 009_route [Concat] inputs: [003_convolutional_lrelu → (1, 64, 152, 152)], [008_convolutional_lrelu → (1, 64, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 009_route for ONNX node: 009_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 009_route for ONNX tensor: 009_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 009_route [Concat] outputs: [009_route → (1, 128, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 010_maxpool [MaxPool]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 009_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 010_maxpool [MaxPool] inputs: [009_route → (1, 128, 152, 152)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 010_maxpool for ONNX node: 010_maxpool
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 010_maxpool for ONNX tensor: 010_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 010_maxpool [MaxPool] outputs: [010_maxpool → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 011_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 010_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 011_convolutional [Conv] inputs: [010_maxpool → (1, 128, 76, 76)], [011_convolutional_conv_weights → (128, 128, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 128, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 011_convolutional for ONNX node: 011_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 011_convolutional for ONNX tensor: 011_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 011_convolutional [Conv] outputs: [011_convolutional → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 011_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 011_convolutional_bn [BatchNormalization] inputs: [011_convolutional → (1, 128, 76, 76)], [011_convolutional_bn_scale → (128)], [011_convolutional_bn_bias → (128)], [011_convolutional_bn_mean → (128)], [011_convolutional_bn_var → (128)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 011_convolutional_bn for ONNX node: 011_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 011_convolutional_bn for ONNX tensor: 011_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 011_convolutional_bn [BatchNormalization] outputs: [011_convolutional_bn → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 011_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 011_convolutional_lrelu [LeakyRelu] inputs: [011_convolutional_bn → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 011_convolutional_lrelu for ONNX node: 011_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 011_convolutional_lrelu for ONNX tensor: 011_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 011_convolutional_lrelu [LeakyRelu] outputs: [011_convolutional_lrelu → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 012_route [Split]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 012_route [Split] inputs: [011_convolutional_lrelu → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 012_route for ONNX node: 012_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 012_route for ONNX node: 012_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 012_route_dummy0 for ONNX tensor: 012_route_dummy0
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 012_route for ONNX tensor: 012_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 012_route [Split] outputs: [012_route_dummy0 → (1, 64, 76, 76)], [012_route → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 013_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 012_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 013_convolutional [Conv] inputs: [012_route → (1, 64, 76, 76)], [013_convolutional_conv_weights → (64, 64, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 64, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 013_convolutional for ONNX node: 013_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 64, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 013_convolutional for ONNX tensor: 013_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 013_convolutional [Conv] outputs: [013_convolutional → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 013_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 013_convolutional_bn [BatchNormalization] inputs: [013_convolutional → (1, 64, 76, 76)], [013_convolutional_bn_scale → (64)], [013_convolutional_bn_bias → (64)], [013_convolutional_bn_mean → (64)], [013_convolutional_bn_var → (64)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 013_convolutional_bn for ONNX node: 013_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 013_convolutional_bn for ONNX tensor: 013_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 013_convolutional_bn [BatchNormalization] outputs: [013_convolutional_bn → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 013_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 013_convolutional_lrelu [LeakyRelu] inputs: [013_convolutional_bn → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 013_convolutional_lrelu for ONNX node: 013_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 013_convolutional_lrelu for ONNX tensor: 013_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 013_convolutional_lrelu [LeakyRelu] outputs: [013_convolutional_lrelu → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 014_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 014_convolutional [Conv] inputs: [013_convolutional_lrelu → (1, 64, 76, 76)], [014_convolutional_conv_weights → (64, 64, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 64, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 014_convolutional for ONNX node: 014_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 64
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 64, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 014_convolutional for ONNX tensor: 014_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 014_convolutional [Conv] outputs: [014_convolutional → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 014_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 014_convolutional_bn [BatchNormalization] inputs: [014_convolutional → (1, 64, 76, 76)], [014_convolutional_bn_scale → (64)], [014_convolutional_bn_bias → (64)], [014_convolutional_bn_mean → (64)], [014_convolutional_bn_var → (64)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 014_convolutional_bn for ONNX node: 014_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 014_convolutional_bn for ONNX tensor: 014_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 014_convolutional_bn [BatchNormalization] outputs: [014_convolutional_bn → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 014_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 014_convolutional_lrelu [LeakyRelu] inputs: [014_convolutional_bn → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 014_convolutional_lrelu for ONNX node: 014_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 014_convolutional_lrelu for ONNX tensor: 014_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 014_convolutional_lrelu [LeakyRelu] outputs: [014_convolutional_lrelu → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 015_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 014_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 013_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 015_route [Concat] inputs: [014_convolutional_lrelu → (1, 64, 76, 76)], [013_convolutional_lrelu → (1, 64, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 015_route for ONNX node: 015_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 015_route for ONNX tensor: 015_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 015_route [Concat] outputs: [015_route → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 016_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 015_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 016_convolutional [Conv] inputs: [015_route → (1, 128, 76, 76)], [016_convolutional_conv_weights → (128, 128, 1, 1)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 128, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 016_convolutional for ONNX node: 016_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 128
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 76, 76)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 016_convolutional for ONNX tensor: 016_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 016_convolutional [Conv] outputs: [016_convolutional → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 016_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 016_convolutional_bn [BatchNormalization] inputs: [016_convolutional → (1, 128, 76, 76)], [016_convolutional_bn_scale → (128)], [016_convolutional_bn_bias → (128)], [016_convolutional_bn_mean → (128)], [016_convolutional_bn_var → (128)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 016_convolutional_bn for ONNX node: 016_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 016_convolutional_bn for ONNX tensor: 016_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 016_convolutional_bn [BatchNormalization] outputs: [016_convolutional_bn → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 016_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 016_convolutional_lrelu [LeakyRelu] inputs: [016_convolutional_bn → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 016_convolutional_lrelu for ONNX node: 016_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 016_convolutional_lrelu for ONNX tensor: 016_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 016_convolutional_lrelu [LeakyRelu] outputs: [016_convolutional_lrelu → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 017_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 011_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 016_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 017_route [Concat] inputs: [011_convolutional_lrelu → (1, 128, 76, 76)], [016_convolutional_lrelu → (1, 128, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 017_route for ONNX node: 017_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 017_route for ONNX tensor: 017_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 017_route [Concat] outputs: [017_route → (1, 256, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 018_maxpool [MaxPool]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 017_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 018_maxpool [MaxPool] inputs: [017_route → (1, 256, 76, 76)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 018_maxpool for ONNX node: 018_maxpool
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 018_maxpool for ONNX tensor: 018_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 018_maxpool [MaxPool] outputs: [018_maxpool → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 019_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 018_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 019_convolutional [Conv] inputs: [018_maxpool → (1, 256, 38, 38)], [019_convolutional_conv_weights → (256, 256, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 019_convolutional for ONNX node: 019_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 019_convolutional for ONNX tensor: 019_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 019_convolutional [Conv] outputs: [019_convolutional → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 019_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 019_convolutional_bn [BatchNormalization] inputs: [019_convolutional → (1, 256, 38, 38)], [019_convolutional_bn_scale → (256)], [019_convolutional_bn_bias → (256)], [019_convolutional_bn_mean → (256)], [019_convolutional_bn_var → (256)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 019_convolutional_bn for ONNX node: 019_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 019_convolutional_bn for ONNX tensor: 019_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 019_convolutional_bn [BatchNormalization] outputs: [019_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 019_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 019_convolutional_lrelu [LeakyRelu] inputs: [019_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 019_convolutional_lrelu for ONNX node: 019_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 019_convolutional_lrelu for ONNX tensor: 019_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 019_convolutional_lrelu [LeakyRelu] outputs: [019_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 020_route [Split]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 020_route [Split] inputs: [019_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 020_route for ONNX node: 020_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 020_route for ONNX node: 020_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 020_route_dummy0 for ONNX tensor: 020_route_dummy0
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 020_route for ONNX tensor: 020_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 020_route [Split] outputs: [020_route_dummy0 → (1, 128, 38, 38)], [020_route → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 021_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 020_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 021_convolutional [Conv] inputs: [020_route → (1, 128, 38, 38)], [021_convolutional_conv_weights → (128, 128, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 128, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 021_convolutional for ONNX node: 021_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 021_convolutional for ONNX tensor: 021_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 021_convolutional [Conv] outputs: [021_convolutional → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 021_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 021_convolutional_bn [BatchNormalization] inputs: [021_convolutional → (1, 128, 38, 38)], [021_convolutional_bn_scale → (128)], [021_convolutional_bn_bias → (128)], [021_convolutional_bn_mean → (128)], [021_convolutional_bn_var → (128)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 021_convolutional_bn for ONNX node: 021_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 021_convolutional_bn for ONNX tensor: 021_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 021_convolutional_bn [BatchNormalization] outputs: [021_convolutional_bn → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 021_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 021_convolutional_lrelu [LeakyRelu] inputs: [021_convolutional_bn → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 021_convolutional_lrelu for ONNX node: 021_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 021_convolutional_lrelu for ONNX tensor: 021_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 021_convolutional_lrelu [LeakyRelu] outputs: [021_convolutional_lrelu → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 022_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 022_convolutional [Conv] inputs: [021_convolutional_lrelu → (1, 128, 38, 38)], [022_convolutional_conv_weights → (128, 128, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 128, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 022_convolutional for ONNX node: 022_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 022_convolutional for ONNX tensor: 022_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 022_convolutional [Conv] outputs: [022_convolutional → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 022_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 022_convolutional_bn [BatchNormalization] inputs: [022_convolutional → (1, 128, 38, 38)], [022_convolutional_bn_scale → (128)], [022_convolutional_bn_bias → (128)], [022_convolutional_bn_mean → (128)], [022_convolutional_bn_var → (128)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 022_convolutional_bn for ONNX node: 022_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 022_convolutional_bn for ONNX tensor: 022_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 022_convolutional_bn [BatchNormalization] outputs: [022_convolutional_bn → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 022_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 022_convolutional_lrelu [LeakyRelu] inputs: [022_convolutional_bn → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 022_convolutional_lrelu for ONNX node: 022_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 022_convolutional_lrelu for ONNX tensor: 022_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 022_convolutional_lrelu [LeakyRelu] outputs: [022_convolutional_lrelu → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 023_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 022_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 021_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 023_route [Concat] inputs: [022_convolutional_lrelu → (1, 128, 38, 38)], [021_convolutional_lrelu → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 023_route for ONNX node: 023_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 023_route for ONNX tensor: 023_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 023_route [Concat] outputs: [023_route → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 024_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 023_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 024_convolutional [Conv] inputs: [023_route → (1, 256, 38, 38)], [024_convolutional_conv_weights → (256, 256, 1, 1)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 024_convolutional for ONNX node: 024_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 024_convolutional for ONNX tensor: 024_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 024_convolutional [Conv] outputs: [024_convolutional → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 024_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 024_convolutional_bn [BatchNormalization] inputs: [024_convolutional → (1, 256, 38, 38)], [024_convolutional_bn_scale → (256)], [024_convolutional_bn_bias → (256)], [024_convolutional_bn_mean → (256)], [024_convolutional_bn_var → (256)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 024_convolutional_bn for ONNX node: 024_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 024_convolutional_bn for ONNX tensor: 024_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 024_convolutional_bn [BatchNormalization] outputs: [024_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 024_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 024_convolutional_lrelu [LeakyRelu] inputs: [024_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 024_convolutional_lrelu for ONNX node: 024_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 024_convolutional_lrelu for ONNX tensor: 024_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 024_convolutional_lrelu [LeakyRelu] outputs: [024_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 025_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 019_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 025_route [Concat] inputs: [019_convolutional_lrelu → (1, 256, 38, 38)], [024_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 025_route for ONNX node: 025_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 025_route for ONNX tensor: 025_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 025_route [Concat] outputs: [025_route → (1, 512, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 026_maxpool [MaxPool]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 025_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 026_maxpool [MaxPool] inputs: [025_route → (1, 512, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 026_maxpool for ONNX node: 026_maxpool
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 026_maxpool for ONNX tensor: 026_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 026_maxpool [MaxPool] outputs: [026_maxpool → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 027_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 026_maxpool
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 027_convolutional [Conv] inputs: [026_maxpool → (1, 512, 19, 19)], [027_convolutional_conv_weights → (512, 512, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 512, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 027_convolutional for ONNX node: 027_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 512
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 512, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 027_convolutional for ONNX tensor: 027_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 027_convolutional [Conv] outputs: [027_convolutional → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 027_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 027_convolutional_bn [BatchNormalization] inputs: [027_convolutional → (1, 512, 19, 19)], [027_convolutional_bn_scale → (512)], [027_convolutional_bn_bias → (512)], [027_convolutional_bn_mean → (512)], [027_convolutional_bn_var → (512)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 027_convolutional_bn for ONNX node: 027_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 027_convolutional_bn for ONNX tensor: 027_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 027_convolutional_bn [BatchNormalization] outputs: [027_convolutional_bn → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 027_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 027_convolutional_lrelu [LeakyRelu] inputs: [027_convolutional_bn → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 027_convolutional_lrelu for ONNX node: 027_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 027_convolutional_lrelu for ONNX tensor: 027_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 027_convolutional_lrelu [LeakyRelu] outputs: [027_convolutional_lrelu → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 028_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 027_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 028_convolutional [Conv] inputs: [027_convolutional_lrelu → (1, 512, 19, 19)], [028_convolutional_conv_weights → (256, 512, 1, 1)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 512, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 028_convolutional for ONNX node: 028_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 028_convolutional for ONNX tensor: 028_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 028_convolutional [Conv] outputs: [028_convolutional → (1, 256, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 028_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 028_convolutional_bn [BatchNormalization] inputs: [028_convolutional → (1, 256, 19, 19)], [028_convolutional_bn_scale → (256)], [028_convolutional_bn_bias → (256)], [028_convolutional_bn_mean → (256)], [028_convolutional_bn_var → (256)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 028_convolutional_bn for ONNX node: 028_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 028_convolutional_bn for ONNX tensor: 028_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 028_convolutional_bn [BatchNormalization] outputs: [028_convolutional_bn → (1, 256, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 028_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 028_convolutional_lrelu [LeakyRelu] inputs: [028_convolutional_bn → (1, 256, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 028_convolutional_lrelu for ONNX node: 028_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 028_convolutional_lrelu for ONNX tensor: 028_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 028_convolutional_lrelu [LeakyRelu] outputs: [028_convolutional_lrelu → (1, 256, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 029_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 029_convolutional [Conv] inputs: [028_convolutional_lrelu → (1, 256, 19, 19)], [029_convolutional_conv_weights → (512, 256, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 029_convolutional for ONNX node: 029_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (3, 3), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 512
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 512, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 029_convolutional for ONNX tensor: 029_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 029_convolutional [Conv] outputs: [029_convolutional → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 029_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 029_convolutional_bn [BatchNormalization] inputs: [029_convolutional → (1, 512, 19, 19)], [029_convolutional_bn_scale → (512)], [029_convolutional_bn_bias → (512)], [029_convolutional_bn_mean → (512)], [029_convolutional_bn_var → (512)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 029_convolutional_bn for ONNX node: 029_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 029_convolutional_bn for ONNX tensor: 029_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 029_convolutional_bn [BatchNormalization] outputs: [029_convolutional_bn → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 029_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 029_convolutional_lrelu [LeakyRelu] inputs: [029_convolutional_bn → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 029_convolutional_lrelu for ONNX node: 029_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 029_convolutional_lrelu for ONNX tensor: 029_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 029_convolutional_lrelu [LeakyRelu] outputs: [029_convolutional_lrelu → (1, 512, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 030_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 029_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 030_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 030_convolutional_conv_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 030_convolutional [Conv] inputs: [029_convolutional_lrelu → (1, 512, 19, 19)], [030_convolutional_conv_weights → (18, 512, 1, 1)], [030_convolutional_conv_bias → (18)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 512, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 030_convolutional for ONNX node: 030_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 18
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 18, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 030_convolutional_1 for ONNX tensor: 030_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 030_convolutional [Conv] outputs: [030_convolutional → (1, 18, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 033_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 028_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 033_convolutional [Conv] inputs: [028_convolutional_lrelu → (1, 256, 19, 19)], [033_convolutional_conv_weights → (128, 256, 1, 1)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 033_convolutional for ONNX node: 033_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 128
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 128, 19, 19)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 033_convolutional for ONNX tensor: 033_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 033_convolutional [Conv] outputs: [033_convolutional → (1, 128, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 033_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 033_convolutional_bn [BatchNormalization] inputs: [033_convolutional → (1, 128, 19, 19)], [033_convolutional_bn_scale → (128)], [033_convolutional_bn_bias → (128)], [033_convolutional_bn_mean → (128)], [033_convolutional_bn_var → (128)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 033_convolutional_bn for ONNX node: 033_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 033_convolutional_bn for ONNX tensor: 033_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 033_convolutional_bn [BatchNormalization] outputs: [033_convolutional_bn → (1, 128, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 033_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 033_convolutional_lrelu [LeakyRelu] inputs: [033_convolutional_bn → (1, 128, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 033_convolutional_lrelu for ONNX node: 033_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 033_convolutional_lrelu for ONNX tensor: 033_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 033_convolutional_lrelu [LeakyRelu] outputs: [033_convolutional_lrelu → (1, 128, 19, 19)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 034_upsample [Upsample]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 033_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 034_upsample_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 034_upsample [Upsample] inputs: [033_convolutional_lrelu → (1, 128, 19, 19)], [034_upsample_scale → (4)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 034_upsample for ONNX node: 034_upsample
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 034_upsample for ONNX tensor: 034_upsample
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 034_upsample [Upsample] outputs: [034_upsample → (1, 128, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 035_route [Concat]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 034_upsample
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 024_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 035_route [Concat] inputs: [034_upsample → (1, 128, 38, 38)], [024_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 035_route for ONNX node: 035_route
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 035_route for ONNX tensor: 035_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 035_route [Concat] outputs: [035_route → (1, 384, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 036_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 035_route
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 036_convolutional [Conv] inputs: [035_route → (1, 384, 38, 38)], [036_convolutional_conv_weights → (256, 384, 3, 3)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 384, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 036_convolutional for ONNX node: 036_convolutional
[04/27/2021-11:25:37] [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
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 036_convolutional for ONNX tensor: 036_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 036_convolutional [Conv] outputs: [036_convolutional → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 036_convolutional_bn [BatchNormalization]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_bn_scale
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_bn_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_bn_mean
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_bn_var
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 036_convolutional_bn [BatchNormalization] inputs: [036_convolutional → (1, 256, 38, 38)], [036_convolutional_bn_scale → (256)], [036_convolutional_bn_bias → (256)], [036_convolutional_bn_mean → (256)], [036_convolutional_bn_var → (256)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 036_convolutional_bn for ONNX node: 036_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 036_convolutional_bn for ONNX tensor: 036_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 036_convolutional_bn [BatchNormalization] outputs: [036_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 036_convolutional_lrelu [LeakyRelu]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 036_convolutional_lrelu [LeakyRelu] inputs: [036_convolutional_bn → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 036_convolutional_lrelu for ONNX node: 036_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 036_convolutional_lrelu for ONNX tensor: 036_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 036_convolutional_lrelu [LeakyRelu] outputs: [036_convolutional_lrelu → (1, 256, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:103: Parsing node: 037_convolutional [Conv]
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 036_convolutional_lrelu
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 037_convolutional_conv_weights
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:119: Searching for input: 037_convolutional_conv_bias
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:125: 037_convolutional [Conv] inputs: [036_convolutional_lrelu → (1, 256, 38, 38)], [037_convolutional_conv_weights → (18, 256, 1, 1)], [037_convolutional_conv_bias → (18)],
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:450: Convolution input dimensions: (1, 256, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:141: Registering layer: 037_convolutional for ONNX node: 037_convolutional
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:533: Using kernel: (1, 1), strides: (1, 1), prepadding: (0, 0), postpadding: (0, 0), dilations: (1, 1), numOutputs: 18
[04/27/2021-11:25:37] [V] [TRT] builtin_op_importers.cpp:534: Convolution output dimensions: (1, 18, 38, 38)
[04/27/2021-11:25:37] [V] [TRT] ImporterContext.hpp:116: Registering tensor: 037_convolutional_1 for ONNX tensor: 037_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:179: 037_convolutional [Conv] outputs: [037_convolutional → (1, 18, 38, 38)],
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:507: Marking 030_convolutional_1 as output: 030_convolutional
[04/27/2021-11:25:37] [V] [TRT] ModelImporter.cpp:507: Marking 037_convolutional_1 as output: 037_convolutional
----- Parsing of ONNX model custom-yolov4-tiny_human1-608.onnx is Done ----
[04/27/2021-11:25:37] [V] [TRT] Applying generic optimizations to the graph for inference.
[04/27/2021-11:25:37] [V] [TRT] Original: 73 layers
[04/27/2021-11:25:37] [V] [TRT] After dead-layer removal: 73 layers
[04/27/2021-11:25:37] [V] [TRT] After Myelin optimization: 73 layers
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 001_convolutional with scale 001_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 002_convolutional with scale 002_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 003_convolutional with scale 003_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 005_convolutional with scale 005_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 006_convolutional with scale 006_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 008_convolutional with scale 008_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 011_convolutional with scale 011_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 013_convolutional with scale 013_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 014_convolutional with scale 014_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 016_convolutional with scale 016_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 019_convolutional with scale 019_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 021_convolutional with scale 021_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 022_convolutional with scale 022_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 024_convolutional with scale 024_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 027_convolutional with scale 027_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 028_convolutional with scale 028_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 033_convolutional with scale 033_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 029_convolutional with scale 029_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] Fusing convolution weights from 036_convolutional with scale 036_convolutional_bn
[04/27/2021-11:25:37] [V] [TRT] After scale fusion: 54 layers
[04/27/2021-11:25:37] [V] [TRT] After vertical fusions: 54 layers
[04/27/2021-11:25:37] [V] [TRT] After final dead-layer removal: 54 layers
[04/27/2021-11:25:37] [V] [TRT] After tensor merging: 54 layers
[04/27/2021-11:25:37] [V] [TRT] Replacing slice 004_route_1 with copy from 003_convolutional_lrelu to 004_route
[04/27/2021-11:25:37] [V] [TRT] Replacing slice 012_route_1 with copy from 011_convolutional_lrelu to 012_route
[04/27/2021-11:25:37] [V] [TRT] Replacing slice 020_route_1 with copy from 019_convolutional_lrelu to 020_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 007_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 006_convolutional_lrelu to 007_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 005_convolutional_lrelu to 007_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 009_route
[04/27/2021-11:25:37] [V] [TRT] Generating copy for 003_convolutional_lrelu to 009_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 008_convolutional_lrelu to 009_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 015_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 014_convolutional_lrelu to 015_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 013_convolutional_lrelu to 015_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 017_route
[04/27/2021-11:25:37] [V] [TRT] Generating copy for 011_convolutional_lrelu to 017_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 016_convolutional_lrelu to 017_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 023_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 022_convolutional_lrelu to 023_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 021_convolutional_lrelu to 023_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 025_route
[04/27/2021-11:25:37] [V] [TRT] Generating copy for 019_convolutional_lrelu to 025_route
[04/27/2021-11:25:37] [V] [TRT] Retargeting 024_convolutional_lrelu to 025_route
[04/27/2021-11:25:37] [V] [TRT] Eliminating concatenation 035_route
[04/27/2021-11:25:37] [V] [TRT] Generating copy for 034_upsample to 035_route
[04/27/2021-11:25:37] [V] [TRT] Generating copy for 025_route to 035_route
[04/27/2021-11:25:37] [V] [TRT] After concat removal: 52 layers
[04/27/2021-11:25:37] [V] [TRT] Graph construction and optimization completed in 0.0651334 seconds.
[04/27/2021-11:25:42] [E] [TRT] …/rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[04/27/2021-11:25:42] [E] [TRT] …/rtSafe/safeRuntime.cpp (25) - Cuda Error in allocate: 2 (out of memory)
[04/27/2021-11:25:42] [E] Engine creation failed
[04/27/2021-11:25:42] [E] Engine set up failed
&&&& FAILED TensorRT.trtexec # /usr/src/tensorrt/bin/trtexec --onnx=custom-yolov4-tiny_human1-608.onnx --explicitBatch --saveEngine=custom-yolov4-tiny_human1-608.engine --workspace=4096 --fp16 --verbose