Segmentation fault while processing context->enqueue(batch_size, buffer, stream, nullptr)

Description

Hello, guys. I’m going to deploy YOLOv5s on a object recognition task.
The .engine file is generated by the original yolov5 github repository.
I want to build the program step by step, so the code is stuck in the output of the network.
A segmentation fault occurs at main.cpp line 110 and trt.cpp line 39.
Here’s the output of gdb:

Thread 1 "main" hit Breakpoint 1, main ()
    at /root/AutowareArchitectureProposal.proj/src/autoware/AutowareArchitectureProposal.iv/perception/traffic_light_recognition/traffic_light_test/src/main.cpp:110
110	  net.infer(buffer, stream);
(gdb) s
Net::infer (this=0x7fffffffdcd0, 
    buffer=std::vector of length 5, capacity 5 = {...}, stream=0x555597931900)
    at /root/AutowareArchitectureProposal.proj/src/autoware/AutowareArchitectureProposal.iv/perception/traffic_light_recognition/traffic_light_test/lib/src/trt.cpp:39
39	        context->enqueue(BATCH_SIZE, buffer.data(), stream, nullptr);
(gdb) s
std::vector<void*, std::allocator<void*> >::data (this=0x7fffffffdcf0)
    at /usr/include/c++/7/bits/stl_vector.h:921
921	      { return _M_data_ptr(this->_M_impl._M_start); }
(gdb) s
std::vector<void*, std::allocator<void*> >::_M_data_ptr<void*> (
    this=0x7fffffffdcf0, __ptr=0x555597cc3810)
    at /usr/include/c++/7/bits/stl_vector.h:1563
1563		{ return __ptr; }
(gdb) s

Thread 1 "main" received signal SIGSEGV, Segmentation fault.
0x0000555597cc3810 in ?? ()

Environment

TensorRT Version: 7.0.0.11
GPU Type: RTX2070
Nvidia Driver Version: 440.33.01
CUDA Version: 10.2
CUDNN Version: 7.6.5
Operating System + Version: Ubuntu 18.04
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Relevant Files

The code is uploaded on GitHub - guanghangchoi/TrafficLightDetection: Traffic light detection using yolov5s in c++

Steps To Reproduce

mkdir build && cd build
cmake ..
make
./main
Error occurs:

The engine has size of 37437469 . 
file_names : 
../data/frame_0.jpg
Get image with width = 1920 and height = 1080 .
unpad_w = 640  unpad_h = 360
Resize image done.
Get image with width (640) height (640) 
pixels is continue, assign to img.
image size : 1228800
Deserialize required 900073 microseconds.
Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
Distribute cuda memory.
Data size = 1228800
Buffer[0] contains 1228800 floats. 
Transfered data to buffer.
Segmentation fault (core dumped)

Here is the result of bt:

(gdb) bt
#0  0x0000555597cc3810 in ?? ()
#1  0x00007fffe837a44a in nvinfer1::LogStream::Buf::sync() () from /usr/lib/x86_64-linux-gnu/libnvinfer.so.7
#2  0x00007fffe7becc4e in std::ostream::flush() () from /usr/lib/x86_64-linux-gnu/libstdc++.so.6
#3  0x00007fffe811245b in nvinfer1::rt::ExecutionContext::enqueue(int, void**, CUstream_st*, CUevent_st**) ()
   from /usr/lib/x86_64-linux-gnu/libnvinfer.so.7
#4  0x00005555555c5433 in Net::infer (this=0x7fffffffdcd0, buffer=std::vector of length 5, capacity 5 = {...}, 
    stream=0x555597931900)
    at /root/AutowareArchitectureProposal.proj/src/autoware/AutowareArchitectureProposal.iv/perception/traffic_light_recognition/traffic_light_test/lib/src/trt.cpp:39
#5  0x000055555556b56f in main ()
    at /root/AutowareArchitectureProposal.proj/src/autoware/AutowareArchitectureProposal.iv/perception/traffic_light_recognition/traffic_light_test/src/main.cpp:110

Hi,
Request you to share the ONNX model and the script if not shared already so that we can assist you better.
Alongside you can try few things:

  1. validating your model with the below snippet

check_model.py

import sys
import onnx
filename = yourONNXmodel
model = onnx.load(filename)
onnx.checker.check_model(model).
2) Try running your model with trtexec command.
https://github.com/NVIDIA/TensorRT/tree/master/samples/opensource/trtexec
In case you are still facing issue, request you to share the trtexec “”–verbose"" log for further debugging
Thanks!

Hello, the code is uploaded to github. GitHub - guanghangchoi/TrafficLightDetection: Traffic light detection using yolov5s in c++
The onnx file is also uploaded, in the file data.
As to the methods you mentioned above,
the python file returns nothing, so I think that’s fine.
However, when I run the trtexec, I got an error:

&&&& RUNNING TensorRT.trtexec # ./trtexec --onnx=yolov5s.onnx --verbose
[03/01/2022-11:12:06] [I] === Model Options ===
[03/01/2022-11:12:06] [I] Format: ONNX
[03/01/2022-11:12:06] [I] Model: yolov5s.onnx
[03/01/2022-11:12:06] [I] Output:
[03/01/2022-11:12:06] [I] === Build Options ===
[03/01/2022-11:12:06] [I] Max batch: 1
[03/01/2022-11:12:06] [I] Workspace: 16 MB
[03/01/2022-11:12:06] [I] minTiming: 1
[03/01/2022-11:12:06] [I] avgTiming: 8
[03/01/2022-11:12:06] [I] Precision: FP32
[03/01/2022-11:12:06] [I] Calibration: 
[03/01/2022-11:12:06] [I] Safe mode: Disabled
[03/01/2022-11:12:06] [I] Save engine: 
[03/01/2022-11:12:06] [I] Load engine: 
[03/01/2022-11:12:06] [I] Inputs format: fp32:CHW
[03/01/2022-11:12:06] [I] Outputs format: fp32:CHW
[03/01/2022-11:12:06] [I] Input build shapes: model
[03/01/2022-11:12:06] [I] === System Options ===
[03/01/2022-11:12:06] [I] Device: 0
[03/01/2022-11:12:06] [I] DLACore: 
[03/01/2022-11:12:06] [I] Plugins:
[03/01/2022-11:12:06] [I] === Inference Options ===
[03/01/2022-11:12:06] [I] Batch: 1
[03/01/2022-11:12:06] [I] Iterations: 10
[03/01/2022-11:12:06] [I] Duration: 3s (+ 200ms warm up)
[03/01/2022-11:12:06] [I] Sleep time: 0ms
[03/01/2022-11:12:06] [I] Streams: 1
[03/01/2022-11:12:06] [I] ExposeDMA: Disabled
[03/01/2022-11:12:06] [I] Spin-wait: Disabled
[03/01/2022-11:12:06] [I] Multithreading: Disabled
[03/01/2022-11:12:06] [I] CUDA Graph: Disabled
[03/01/2022-11:12:06] [I] Skip inference: Disabled
[03/01/2022-11:12:06] [I] Input inference shapes: model
[03/01/2022-11:12:06] [I] Inputs:
[03/01/2022-11:12:06] [I] === Reporting Options ===
[03/01/2022-11:12:06] [I] Verbose: Enabled
[03/01/2022-11:12:06] [I] Averages: 10 inferences
[03/01/2022-11:12:06] [I] Percentile: 99
[03/01/2022-11:12:06] [I] Dump output: Disabled
[03/01/2022-11:12:06] [I] Profile: Disabled
[03/01/2022-11:12:06] [I] Export timing to JSON file: 
[03/01/2022-11:12:06] [I] Export output to JSON file: 
[03/01/2022-11:12:06] [I] Export profile to JSON file: 
[03/01/2022-11:12:06] [I] 
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::GridAnchor_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::NMS_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Reorg_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Region_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Clip_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::LReLU_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::PriorBox_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Normalize_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::RPROI_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::BatchedNMS_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::FlattenConcat_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::CropAndResize
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::DetectionLayer_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Proposal
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::ProposalLayer_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::PyramidROIAlign_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::ResizeNearest_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::Split
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::SpecialSlice_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ::InstanceNormalization_TRT
----------------------------------------------------------------
Input filename:   yolov5s.onnx
ONNX IR version:  0.0.7
Opset version:    14
Producer name:    pytorch
Producer version: 1.10
Domain:           
Model version:    0
Doc string:       
----------------------------------------------------------------
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::GridAnchor_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::NMS_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Reorg_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Region_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Clip_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::LReLU_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::PriorBox_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Normalize_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::RPROI_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::BatchedNMS_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::FlattenConcat_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::CropAndResize
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::DetectionLayer_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Proposal
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::ProposalLayer_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::PyramidROIAlign_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::ResizeNearest_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::Split
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::SpecialSlice_TRT
[03/01/2022-11:12:06] [V] [TRT] Plugin creator registration succeeded - ONNXTRT_NAMESPACE::InstanceNormalization_TRT
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:203: Adding network input: images with dtype: float32, dimensions: (1, 3, 640, 640)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: images for ONNX tensor: images
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.0.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.0.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.2.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.2.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.2.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.2.m.0.cv1.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.2.m.0.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.3.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.1.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.1.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.4.m.1.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.5.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.6.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.6.m.0.cv1.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.6.m.0.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.7.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.7.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.8.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.8.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.8.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.8.m.0.cv1.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.8.m.0.cv2.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.9.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.9.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.9.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.9.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.10.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.10.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.cv1.conv.weight
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[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.13.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.14.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.14.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.17.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.18.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.18.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.20.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.21.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.21.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.23.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.0.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.0.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.1.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.1.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.2.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: model.24.m.2.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 525
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 526
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 527
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 528
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 529
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 530
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 531
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 532
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 533
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 534
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 535
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 536
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 537
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:90: Importing initializer: 538
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_0 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: images
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.0.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.0.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_0 [Conv] inputs: [images -> (1, 3, 640, 640)], [model.0.conv.weight -> (32, 3, 6, 6)], [model.0.conv.bias -> (32)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 3, 640, 640)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (6, 6), strides: (2, 2), padding: (2, 2), dilations: (1, 1), numOutputs: 32
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 320, 320)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_0 for ONNX node: Conv_0
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 122 for ONNX tensor: 122
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_0 [Conv] outputs: [122 -> (1, 32, 320, 320)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_1 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 122
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_1 [Sigmoid] inputs: [122 -> (1, 32, 320, 320)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_1 for ONNX node: Sigmoid_1
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 123 for ONNX tensor: 123
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_1 [Sigmoid] outputs: [123 -> (1, 32, 320, 320)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_2 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 122
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 123
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_2 [Mul] inputs: [122 -> (1, 32, 320, 320)], [123 -> (1, 32, 320, 320)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_2 for ONNX node: Mul_2
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 124 for ONNX tensor: 124
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_2 [Mul] outputs: [124 -> (1, 32, 320, 320)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_3 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 124
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_3 [Conv] inputs: [124 -> (1, 32, 320, 320)], [model.1.conv.weight -> (64, 32, 3, 3)], [model.1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 32, 320, 320)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_3 for ONNX node: Conv_3
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 125 for ONNX tensor: 125
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_3 [Conv] outputs: [125 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_4 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 125
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_4 [Sigmoid] inputs: [125 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_4 for ONNX node: Sigmoid_4
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 126 for ONNX tensor: 126
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_4 [Sigmoid] outputs: [126 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_5 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 125
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 126
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_5 [Mul] inputs: [125 -> (1, 64, 160, 160)], [126 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_5 for ONNX node: Mul_5
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 127 for ONNX tensor: 127
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_5 [Mul] outputs: [127 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_6 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 127
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_6 [Conv] inputs: [127 -> (1, 64, 160, 160)], [model.2.cv1.conv.weight -> (32, 64, 1, 1)], [model.2.cv1.conv.bias -> (32)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 32
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_6 for ONNX node: Conv_6
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 128 for ONNX tensor: 128
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_6 [Conv] outputs: [128 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_7 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 128
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_7 [Sigmoid] inputs: [128 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_7 for ONNX node: Sigmoid_7
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 129 for ONNX tensor: 129
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_7 [Sigmoid] outputs: [129 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_8 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 128
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 129
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_8 [Mul] inputs: [128 -> (1, 32, 160, 160)], [129 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_8 for ONNX node: Mul_8
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 130 for ONNX tensor: 130
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_8 [Mul] outputs: [130 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_9 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 130
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_9 [Conv] inputs: [130 -> (1, 32, 160, 160)], [model.2.m.0.cv1.conv.weight -> (32, 32, 1, 1)], [model.2.m.0.cv1.conv.bias -> (32)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 32
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_9 for ONNX node: Conv_9
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 131 for ONNX tensor: 131
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_9 [Conv] outputs: [131 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_10 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 131
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_10 [Sigmoid] inputs: [131 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_10 for ONNX node: Sigmoid_10
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 132 for ONNX tensor: 132
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_10 [Sigmoid] outputs: [132 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_11 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 131
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 132
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_11 [Mul] inputs: [131 -> (1, 32, 160, 160)], [132 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_11 for ONNX node: Mul_11
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 133 for ONNX tensor: 133
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_11 [Mul] outputs: [133 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_12 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 133
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_12 [Conv] inputs: [133 -> (1, 32, 160, 160)], [model.2.m.0.cv2.conv.weight -> (32, 32, 3, 3)], [model.2.m.0.cv2.conv.bias -> (32)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 32
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_12 for ONNX node: Conv_12
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 134 for ONNX tensor: 134
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_12 [Conv] outputs: [134 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_13 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 134
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_13 [Sigmoid] inputs: [134 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_13 for ONNX node: Sigmoid_13
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 135 for ONNX tensor: 135
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_13 [Sigmoid] outputs: [135 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_14 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 134
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 135
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_14 [Mul] inputs: [134 -> (1, 32, 160, 160)], [135 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_14 for ONNX node: Mul_14
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 136 for ONNX tensor: 136
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_14 [Mul] outputs: [136 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_15 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 130
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 136
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_15 [Add] inputs: [130 -> (1, 32, 160, 160)], [136 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_15 for ONNX node: Add_15
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 137 for ONNX tensor: 137
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_15 [Add] outputs: [137 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_16 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 127
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_16 [Conv] inputs: [127 -> (1, 64, 160, 160)], [model.2.cv2.conv.weight -> (32, 64, 1, 1)], [model.2.cv2.conv.bias -> (32)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 32
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_16 for ONNX node: Conv_16
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 138 for ONNX tensor: 138
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_16 [Conv] outputs: [138 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_17 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 138
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_17 [Sigmoid] inputs: [138 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_17 for ONNX node: Sigmoid_17
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 139 for ONNX tensor: 139
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_17 [Sigmoid] outputs: [139 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_18 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 138
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 139
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_18 [Mul] inputs: [138 -> (1, 32, 160, 160)], [139 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_18 for ONNX node: Mul_18
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 140 for ONNX tensor: 140
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_18 [Mul] outputs: [140 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_19 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 137
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 140
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_19 [Concat] inputs: [137 -> (1, 32, 160, 160)], [140 -> (1, 32, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_19 for ONNX node: Concat_19
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 141 for ONNX tensor: 141
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_19 [Concat] outputs: [141 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_20 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 141
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.2.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_20 [Conv] inputs: [141 -> (1, 64, 160, 160)], [model.2.cv3.conv.weight -> (64, 64, 1, 1)], [model.2.cv3.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_20 for ONNX node: Conv_20
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 142 for ONNX tensor: 142
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_20 [Conv] outputs: [142 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_21 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 142
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_21 [Sigmoid] inputs: [142 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_21 for ONNX node: Sigmoid_21
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 143 for ONNX tensor: 143
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_21 [Sigmoid] outputs: [143 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_22 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 142
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 143
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_22 [Mul] inputs: [142 -> (1, 64, 160, 160)], [143 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_22 for ONNX node: Mul_22
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 144 for ONNX tensor: 144
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_22 [Mul] outputs: [144 -> (1, 64, 160, 160)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_23 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 144
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_23 [Conv] inputs: [144 -> (1, 64, 160, 160)], [model.3.conv.weight -> (128, 64, 3, 3)], [model.3.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 160, 160)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_23 for ONNX node: Conv_23
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 145 for ONNX tensor: 145
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_23 [Conv] outputs: [145 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_24 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 145
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_24 [Sigmoid] inputs: [145 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_24 for ONNX node: Sigmoid_24
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 146 for ONNX tensor: 146
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_24 [Sigmoid] outputs: [146 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_25 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 145
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 146
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_25 [Mul] inputs: [145 -> (1, 128, 80, 80)], [146 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_25 for ONNX node: Mul_25
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 147 for ONNX tensor: 147
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_25 [Mul] outputs: [147 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_26 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 147
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_26 [Conv] inputs: [147 -> (1, 128, 80, 80)], [model.4.cv1.conv.weight -> (64, 128, 1, 1)], [model.4.cv1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_26 for ONNX node: Conv_26
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 148 for ONNX tensor: 148
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_26 [Conv] outputs: [148 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_27 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 148
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_27 [Sigmoid] inputs: [148 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_27 for ONNX node: Sigmoid_27
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 149 for ONNX tensor: 149
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_27 [Sigmoid] outputs: [149 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_28 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 148
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 149
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_28 [Mul] inputs: [148 -> (1, 64, 80, 80)], [149 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_28 for ONNX node: Mul_28
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 150 for ONNX tensor: 150
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_28 [Mul] outputs: [150 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_29 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 150
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_29 [Conv] inputs: [150 -> (1, 64, 80, 80)], [model.4.m.0.cv1.conv.weight -> (64, 64, 1, 1)], [model.4.m.0.cv1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_29 for ONNX node: Conv_29
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 151 for ONNX tensor: 151
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_29 [Conv] outputs: [151 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_30 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 151
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_30 [Sigmoid] inputs: [151 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_30 for ONNX node: Sigmoid_30
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 152 for ONNX tensor: 152
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_30 [Sigmoid] outputs: [152 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_31 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 151
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 152
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_31 [Mul] inputs: [151 -> (1, 64, 80, 80)], [152 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_31 for ONNX node: Mul_31
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 153 for ONNX tensor: 153
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_31 [Mul] outputs: [153 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_32 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 153
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_32 [Conv] inputs: [153 -> (1, 64, 80, 80)], [model.4.m.0.cv2.conv.weight -> (64, 64, 3, 3)], [model.4.m.0.cv2.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_32 for ONNX node: Conv_32
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 154 for ONNX tensor: 154
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_32 [Conv] outputs: [154 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_33 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 154
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_33 [Sigmoid] inputs: [154 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_33 for ONNX node: Sigmoid_33
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 155 for ONNX tensor: 155
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_33 [Sigmoid] outputs: [155 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_34 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 154
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 155
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_34 [Mul] inputs: [154 -> (1, 64, 80, 80)], [155 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_34 for ONNX node: Mul_34
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 156 for ONNX tensor: 156
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_34 [Mul] outputs: [156 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_35 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 150
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 156
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_35 [Add] inputs: [150 -> (1, 64, 80, 80)], [156 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_35 for ONNX node: Add_35
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 157 for ONNX tensor: 157
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_35 [Add] outputs: [157 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_36 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 157
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.1.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.1.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_36 [Conv] inputs: [157 -> (1, 64, 80, 80)], [model.4.m.1.cv1.conv.weight -> (64, 64, 1, 1)], [model.4.m.1.cv1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_36 for ONNX node: Conv_36
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 158 for ONNX tensor: 158
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_36 [Conv] outputs: [158 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_37 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 158
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_37 [Sigmoid] inputs: [158 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_37 for ONNX node: Sigmoid_37
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 159 for ONNX tensor: 159
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_37 [Sigmoid] outputs: [159 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_38 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 158
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 159
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_38 [Mul] inputs: [158 -> (1, 64, 80, 80)], [159 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_38 for ONNX node: Mul_38
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 160 for ONNX tensor: 160
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_38 [Mul] outputs: [160 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_39 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 160
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.1.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.m.1.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_39 [Conv] inputs: [160 -> (1, 64, 80, 80)], [model.4.m.1.cv2.conv.weight -> (64, 64, 3, 3)], [model.4.m.1.cv2.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_39 for ONNX node: Conv_39
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 161 for ONNX tensor: 161
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_39 [Conv] outputs: [161 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_40 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 161
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_40 [Sigmoid] inputs: [161 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_40 for ONNX node: Sigmoid_40
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 162 for ONNX tensor: 162
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_40 [Sigmoid] outputs: [162 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_41 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 161
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 162
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_41 [Mul] inputs: [161 -> (1, 64, 80, 80)], [162 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_41 for ONNX node: Mul_41
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 163 for ONNX tensor: 163
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_41 [Mul] outputs: [163 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_42 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 157
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 163
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_42 [Add] inputs: [157 -> (1, 64, 80, 80)], [163 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_42 for ONNX node: Add_42
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 164 for ONNX tensor: 164
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_42 [Add] outputs: [164 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_43 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 147
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_43 [Conv] inputs: [147 -> (1, 128, 80, 80)], [model.4.cv2.conv.weight -> (64, 128, 1, 1)], [model.4.cv2.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_43 for ONNX node: Conv_43
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 165 for ONNX tensor: 165
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_43 [Conv] outputs: [165 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_44 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 165
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_44 [Sigmoid] inputs: [165 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_44 for ONNX node: Sigmoid_44
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 166 for ONNX tensor: 166
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_44 [Sigmoid] outputs: [166 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_45 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 165
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 166
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_45 [Mul] inputs: [165 -> (1, 64, 80, 80)], [166 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_45 for ONNX node: Mul_45
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 167 for ONNX tensor: 167
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_45 [Mul] outputs: [167 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_46 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 164
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 167
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_46 [Concat] inputs: [164 -> (1, 64, 80, 80)], [167 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_46 for ONNX node: Concat_46
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 168 for ONNX tensor: 168
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_46 [Concat] outputs: [168 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_47 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 168
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.4.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_47 [Conv] inputs: [168 -> (1, 128, 80, 80)], [model.4.cv3.conv.weight -> (128, 128, 1, 1)], [model.4.cv3.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_47 for ONNX node: Conv_47
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 169 for ONNX tensor: 169
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_47 [Conv] outputs: [169 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_48 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 169
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_48 [Sigmoid] inputs: [169 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_48 for ONNX node: Sigmoid_48
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 170 for ONNX tensor: 170
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_48 [Sigmoid] outputs: [170 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_49 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 169
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 170
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_49 [Mul] inputs: [169 -> (1, 128, 80, 80)], [170 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_49 for ONNX node: Mul_49
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 171 for ONNX tensor: 171
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_49 [Mul] outputs: [171 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_50 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 171
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.5.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.5.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_50 [Conv] inputs: [171 -> (1, 128, 80, 80)], [model.5.conv.weight -> (256, 128, 3, 3)], [model.5.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_50 for ONNX node: Conv_50
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 172 for ONNX tensor: 172
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_50 [Conv] outputs: [172 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_51 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 172
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_51 [Sigmoid] inputs: [172 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_51 for ONNX node: Sigmoid_51
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 173 for ONNX tensor: 173
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_51 [Sigmoid] outputs: [173 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_52 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 172
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 173
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_52 [Mul] inputs: [172 -> (1, 256, 40, 40)], [173 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_52 for ONNX node: Mul_52
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 174 for ONNX tensor: 174
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_52 [Mul] outputs: [174 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_53 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 174
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_53 [Conv] inputs: [174 -> (1, 256, 40, 40)], [model.6.cv1.conv.weight -> (128, 256, 1, 1)], [model.6.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_53 for ONNX node: Conv_53
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 175 for ONNX tensor: 175
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_53 [Conv] outputs: [175 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_54 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 175
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_54 [Sigmoid] inputs: [175 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_54 for ONNX node: Sigmoid_54
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 176 for ONNX tensor: 176
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_54 [Sigmoid] outputs: [176 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_55 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 175
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 176
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_55 [Mul] inputs: [175 -> (1, 128, 40, 40)], [176 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_55 for ONNX node: Mul_55
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 177 for ONNX tensor: 177
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_55 [Mul] outputs: [177 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_56 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 177
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_56 [Conv] inputs: [177 -> (1, 128, 40, 40)], [model.6.m.0.cv1.conv.weight -> (128, 128, 1, 1)], [model.6.m.0.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_56 for ONNX node: Conv_56
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 178 for ONNX tensor: 178
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_56 [Conv] outputs: [178 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_57 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 178
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_57 [Sigmoid] inputs: [178 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_57 for ONNX node: Sigmoid_57
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 179 for ONNX tensor: 179
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_57 [Sigmoid] outputs: [179 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_58 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 178
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 179
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_58 [Mul] inputs: [178 -> (1, 128, 40, 40)], [179 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_58 for ONNX node: Mul_58
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 180 for ONNX tensor: 180
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_58 [Mul] outputs: [180 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_59 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 180
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_59 [Conv] inputs: [180 -> (1, 128, 40, 40)], [model.6.m.0.cv2.conv.weight -> (128, 128, 3, 3)], [model.6.m.0.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_59 for ONNX node: Conv_59
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 181 for ONNX tensor: 181
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_59 [Conv] outputs: [181 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_60 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 181
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_60 [Sigmoid] inputs: [181 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_60 for ONNX node: Sigmoid_60
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 182 for ONNX tensor: 182
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_60 [Sigmoid] outputs: [182 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_61 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 181
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 182
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_61 [Mul] inputs: [181 -> (1, 128, 40, 40)], [182 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_61 for ONNX node: Mul_61
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 183 for ONNX tensor: 183
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_61 [Mul] outputs: [183 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_62 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 177
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 183
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_62 [Add] inputs: [177 -> (1, 128, 40, 40)], [183 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_62 for ONNX node: Add_62
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 184 for ONNX tensor: 184
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_62 [Add] outputs: [184 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_63 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 184
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.1.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.1.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_63 [Conv] inputs: [184 -> (1, 128, 40, 40)], [model.6.m.1.cv1.conv.weight -> (128, 128, 1, 1)], [model.6.m.1.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_63 for ONNX node: Conv_63
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 185 for ONNX tensor: 185
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_63 [Conv] outputs: [185 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_64 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 185
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_64 [Sigmoid] inputs: [185 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_64 for ONNX node: Sigmoid_64
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 186 for ONNX tensor: 186
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_64 [Sigmoid] outputs: [186 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_65 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 185
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 186
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_65 [Mul] inputs: [185 -> (1, 128, 40, 40)], [186 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_65 for ONNX node: Mul_65
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 187 for ONNX tensor: 187
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_65 [Mul] outputs: [187 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_66 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 187
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.1.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.1.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_66 [Conv] inputs: [187 -> (1, 128, 40, 40)], [model.6.m.1.cv2.conv.weight -> (128, 128, 3, 3)], [model.6.m.1.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_66 for ONNX node: Conv_66
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 188 for ONNX tensor: 188
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_66 [Conv] outputs: [188 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_67 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 188
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_67 [Sigmoid] inputs: [188 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_67 for ONNX node: Sigmoid_67
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 189 for ONNX tensor: 189
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_67 [Sigmoid] outputs: [189 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_68 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 188
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 189
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_68 [Mul] inputs: [188 -> (1, 128, 40, 40)], [189 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_68 for ONNX node: Mul_68
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 190 for ONNX tensor: 190
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_68 [Mul] outputs: [190 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_69 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 184
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 190
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_69 [Add] inputs: [184 -> (1, 128, 40, 40)], [190 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_69 for ONNX node: Add_69
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 191 for ONNX tensor: 191
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_69 [Add] outputs: [191 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_70 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 191
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.2.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.2.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_70 [Conv] inputs: [191 -> (1, 128, 40, 40)], [model.6.m.2.cv1.conv.weight -> (128, 128, 1, 1)], [model.6.m.2.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_70 for ONNX node: Conv_70
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 192 for ONNX tensor: 192
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_70 [Conv] outputs: [192 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_71 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 192
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_71 [Sigmoid] inputs: [192 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_71 for ONNX node: Sigmoid_71
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 193 for ONNX tensor: 193
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_71 [Sigmoid] outputs: [193 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_72 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 192
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 193
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_72 [Mul] inputs: [192 -> (1, 128, 40, 40)], [193 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_72 for ONNX node: Mul_72
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 194 for ONNX tensor: 194
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_72 [Mul] outputs: [194 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_73 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 194
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.2.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.m.2.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_73 [Conv] inputs: [194 -> (1, 128, 40, 40)], [model.6.m.2.cv2.conv.weight -> (128, 128, 3, 3)], [model.6.m.2.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_73 for ONNX node: Conv_73
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 195 for ONNX tensor: 195
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_73 [Conv] outputs: [195 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_74 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 195
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_74 [Sigmoid] inputs: [195 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_74 for ONNX node: Sigmoid_74
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 196 for ONNX tensor: 196
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_74 [Sigmoid] outputs: [196 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_75 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 195
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 196
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_75 [Mul] inputs: [195 -> (1, 128, 40, 40)], [196 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_75 for ONNX node: Mul_75
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 197 for ONNX tensor: 197
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_75 [Mul] outputs: [197 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_76 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 191
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 197
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_76 [Add] inputs: [191 -> (1, 128, 40, 40)], [197 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_76 for ONNX node: Add_76
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 198 for ONNX tensor: 198
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_76 [Add] outputs: [198 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_77 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 174
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_77 [Conv] inputs: [174 -> (1, 256, 40, 40)], [model.6.cv2.conv.weight -> (128, 256, 1, 1)], [model.6.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_77 for ONNX node: Conv_77
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 199 for ONNX tensor: 199
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_77 [Conv] outputs: [199 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_78 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 199
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_78 [Sigmoid] inputs: [199 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_78 for ONNX node: Sigmoid_78
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 200 for ONNX tensor: 200
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_78 [Sigmoid] outputs: [200 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_79 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 199
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 200
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_79 [Mul] inputs: [199 -> (1, 128, 40, 40)], [200 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_79 for ONNX node: Mul_79
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 201 for ONNX tensor: 201
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_79 [Mul] outputs: [201 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_80 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 198
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 201
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_80 [Concat] inputs: [198 -> (1, 128, 40, 40)], [201 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_80 for ONNX node: Concat_80
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 202 for ONNX tensor: 202
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_80 [Concat] outputs: [202 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_81 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 202
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.6.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_81 [Conv] inputs: [202 -> (1, 256, 40, 40)], [model.6.cv3.conv.weight -> (256, 256, 1, 1)], [model.6.cv3.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_81 for ONNX node: Conv_81
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 203 for ONNX tensor: 203
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_81 [Conv] outputs: [203 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_82 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 203
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_82 [Sigmoid] inputs: [203 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_82 for ONNX node: Sigmoid_82
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 204 for ONNX tensor: 204
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_82 [Sigmoid] outputs: [204 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_83 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 203
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 204
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_83 [Mul] inputs: [203 -> (1, 256, 40, 40)], [204 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_83 for ONNX node: Mul_83
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 205 for ONNX tensor: 205
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_83 [Mul] outputs: [205 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_84 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 205
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.7.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.7.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_84 [Conv] inputs: [205 -> (1, 256, 40, 40)], [model.7.conv.weight -> (512, 256, 3, 3)], [model.7.conv.bias -> (512)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 512
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_84 for ONNX node: Conv_84
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 206 for ONNX tensor: 206
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_84 [Conv] outputs: [206 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_85 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 206
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_85 [Sigmoid] inputs: [206 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_85 for ONNX node: Sigmoid_85
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 207 for ONNX tensor: 207
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_85 [Sigmoid] outputs: [207 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_86 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 206
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 207
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_86 [Mul] inputs: [206 -> (1, 512, 20, 20)], [207 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_86 for ONNX node: Mul_86
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 208 for ONNX tensor: 208
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_86 [Mul] outputs: [208 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_87 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 208
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_87 [Conv] inputs: [208 -> (1, 512, 20, 20)], [model.8.cv1.conv.weight -> (256, 512, 1, 1)], [model.8.cv1.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_87 for ONNX node: Conv_87
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 209 for ONNX tensor: 209
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_87 [Conv] outputs: [209 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_88 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 209
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_88 [Sigmoid] inputs: [209 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_88 for ONNX node: Sigmoid_88
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 210 for ONNX tensor: 210
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_88 [Sigmoid] outputs: [210 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_89 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 209
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 210
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_89 [Mul] inputs: [209 -> (1, 256, 20, 20)], [210 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_89 for ONNX node: Mul_89
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 211 for ONNX tensor: 211
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_89 [Mul] outputs: [211 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_90 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 211
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_90 [Conv] inputs: [211 -> (1, 256, 20, 20)], [model.8.m.0.cv1.conv.weight -> (256, 256, 1, 1)], [model.8.m.0.cv1.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_90 for ONNX node: Conv_90
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 212 for ONNX tensor: 212
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_90 [Conv] outputs: [212 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_91 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 212
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_91 [Sigmoid] inputs: [212 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_91 for ONNX node: Sigmoid_91
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 213 for ONNX tensor: 213
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_91 [Sigmoid] outputs: [213 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_92 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 212
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 213
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_92 [Mul] inputs: [212 -> (1, 256, 20, 20)], [213 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_92 for ONNX node: Mul_92
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 214 for ONNX tensor: 214
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_92 [Mul] outputs: [214 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_93 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 214
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_93 [Conv] inputs: [214 -> (1, 256, 20, 20)], [model.8.m.0.cv2.conv.weight -> (256, 256, 3, 3)], [model.8.m.0.cv2.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_93 for ONNX node: Conv_93
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 215 for ONNX tensor: 215
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_93 [Conv] outputs: [215 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_94 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 215
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_94 [Sigmoid] inputs: [215 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_94 for ONNX node: Sigmoid_94
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 216 for ONNX tensor: 216
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_94 [Sigmoid] outputs: [216 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_95 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 215
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 216
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_95 [Mul] inputs: [215 -> (1, 256, 20, 20)], [216 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_95 for ONNX node: Mul_95
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 217 for ONNX tensor: 217
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_95 [Mul] outputs: [217 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Add_96 [Add]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 211
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 217
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Add_96 [Add] inputs: [211 -> (1, 256, 20, 20)], [217 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Add_96 for ONNX node: Add_96
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 218 for ONNX tensor: 218
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Add_96 [Add] outputs: [218 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_97 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 208
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_97 [Conv] inputs: [208 -> (1, 512, 20, 20)], [model.8.cv2.conv.weight -> (256, 512, 1, 1)], [model.8.cv2.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_97 for ONNX node: Conv_97
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 219 for ONNX tensor: 219
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_97 [Conv] outputs: [219 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_98 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 219
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_98 [Sigmoid] inputs: [219 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_98 for ONNX node: Sigmoid_98
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 220 for ONNX tensor: 220
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_98 [Sigmoid] outputs: [220 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_99 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 219
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 220
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_99 [Mul] inputs: [219 -> (1, 256, 20, 20)], [220 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_99 for ONNX node: Mul_99
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 221 for ONNX tensor: 221
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_99 [Mul] outputs: [221 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_100 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 218
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 221
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_100 [Concat] inputs: [218 -> (1, 256, 20, 20)], [221 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_100 for ONNX node: Concat_100
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 222 for ONNX tensor: 222
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_100 [Concat] outputs: [222 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_101 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 222
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.8.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_101 [Conv] inputs: [222 -> (1, 512, 20, 20)], [model.8.cv3.conv.weight -> (512, 512, 1, 1)], [model.8.cv3.conv.bias -> (512)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_101 for ONNX node: Conv_101
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 223 for ONNX tensor: 223
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_101 [Conv] outputs: [223 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_102 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 223
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_102 [Sigmoid] inputs: [223 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_102 for ONNX node: Sigmoid_102
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 224 for ONNX tensor: 224
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_102 [Sigmoid] outputs: [224 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_103 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 223
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 224
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_103 [Mul] inputs: [223 -> (1, 512, 20, 20)], [224 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_103 for ONNX node: Mul_103
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 225 for ONNX tensor: 225
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_103 [Mul] outputs: [225 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_104 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 225
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.9.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.9.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_104 [Conv] inputs: [225 -> (1, 512, 20, 20)], [model.9.cv1.conv.weight -> (256, 512, 1, 1)], [model.9.cv1.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_104 for ONNX node: Conv_104
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 226 for ONNX tensor: 226
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_104 [Conv] outputs: [226 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_105 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 226
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_105 [Sigmoid] inputs: [226 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_105 for ONNX node: Sigmoid_105
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 227 for ONNX tensor: 227
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_105 [Sigmoid] outputs: [227 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_106 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 226
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 227
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_106 [Mul] inputs: [226 -> (1, 256, 20, 20)], [227 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_106 for ONNX node: Mul_106
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 228 for ONNX tensor: 228
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_106 [Mul] outputs: [228 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: MaxPool_107 [MaxPool]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 228
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: MaxPool_107 [MaxPool] inputs: [228 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: MaxPool_107 for ONNX node: MaxPool_107
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 229 for ONNX tensor: 229
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: MaxPool_107 [MaxPool] outputs: [229 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: MaxPool_108 [MaxPool]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 229
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: MaxPool_108 [MaxPool] inputs: [229 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: MaxPool_108 for ONNX node: MaxPool_108
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 230 for ONNX tensor: 230
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: MaxPool_108 [MaxPool] outputs: [230 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: MaxPool_109 [MaxPool]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 230
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: MaxPool_109 [MaxPool] inputs: [230 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: MaxPool_109 for ONNX node: MaxPool_109
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 231 for ONNX tensor: 231
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: MaxPool_109 [MaxPool] outputs: [231 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_110 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 228
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 229
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 230
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 231
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_110 [Concat] inputs: [228 -> (1, 256, 20, 20)], [229 -> (1, 256, 20, 20)], [230 -> (1, 256, 20, 20)], [231 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_110 for ONNX node: Concat_110
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 232 for ONNX tensor: 232
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_110 [Concat] outputs: [232 -> (1, 1024, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_111 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 232
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.9.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.9.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_111 [Conv] inputs: [232 -> (1, 1024, 20, 20)], [model.9.cv2.conv.weight -> (512, 1024, 1, 1)], [model.9.cv2.conv.bias -> (512)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_111 for ONNX node: Conv_111
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 233 for ONNX tensor: 233
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_111 [Conv] outputs: [233 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_112 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 233
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_112 [Sigmoid] inputs: [233 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_112 for ONNX node: Sigmoid_112
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 234 for ONNX tensor: 234
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_112 [Sigmoid] outputs: [234 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_113 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 233
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 234
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_113 [Mul] inputs: [233 -> (1, 512, 20, 20)], [234 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_113 for ONNX node: Mul_113
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 235 for ONNX tensor: 235
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_113 [Mul] outputs: [235 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_114 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 235
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.10.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.10.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_114 [Conv] inputs: [235 -> (1, 512, 20, 20)], [model.10.conv.weight -> (256, 512, 1, 1)], [model.10.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_114 for ONNX node: Conv_114
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 236 for ONNX tensor: 236
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_114 [Conv] outputs: [236 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_115 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 236
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_115 [Sigmoid] inputs: [236 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_115 for ONNX node: Sigmoid_115
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 237 for ONNX tensor: 237
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_115 [Sigmoid] outputs: [237 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_116 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 236
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 237
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_116 [Mul] inputs: [236 -> (1, 256, 20, 20)], [237 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_116 for ONNX node: Mul_116
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 238 for ONNX tensor: 238
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_116 [Mul] outputs: [238 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Resize_117 [Resize]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 238
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 525
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Resize_117 [Resize] inputs: [238 -> (1, 256, 20, 20)], [optional input, not set], [525 -> (4)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Resize_117 for ONNX node: Resize_117
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 243 for ONNX tensor: 243
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Resize_117 [Resize] outputs: [243 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_118 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 243
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 205
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_118 [Concat] inputs: [243 -> (1, 256, 40, 40)], [205 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_118 for ONNX node: Concat_118
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 244 for ONNX tensor: 244
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_118 [Concat] outputs: [244 -> (1, 512, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_119 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 244
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_119 [Conv] inputs: [244 -> (1, 512, 40, 40)], [model.13.cv1.conv.weight -> (128, 512, 1, 1)], [model.13.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_119 for ONNX node: Conv_119
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 245 for ONNX tensor: 245
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_119 [Conv] outputs: [245 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_120 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 245
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_120 [Sigmoid] inputs: [245 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_120 for ONNX node: Sigmoid_120
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 246 for ONNX tensor: 246
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_120 [Sigmoid] outputs: [246 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_121 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 245
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 246
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_121 [Mul] inputs: [245 -> (1, 128, 40, 40)], [246 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_121 for ONNX node: Mul_121
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 247 for ONNX tensor: 247
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_121 [Mul] outputs: [247 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_122 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 247
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_122 [Conv] inputs: [247 -> (1, 128, 40, 40)], [model.13.m.0.cv1.conv.weight -> (128, 128, 1, 1)], [model.13.m.0.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_122 for ONNX node: Conv_122
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 248 for ONNX tensor: 248
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_122 [Conv] outputs: [248 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_123 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 248
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_123 [Sigmoid] inputs: [248 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_123 for ONNX node: Sigmoid_123
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 249 for ONNX tensor: 249
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_123 [Sigmoid] outputs: [249 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_124 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 248
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 249
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_124 [Mul] inputs: [248 -> (1, 128, 40, 40)], [249 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_124 for ONNX node: Mul_124
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 250 for ONNX tensor: 250
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_124 [Mul] outputs: [250 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_125 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 250
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_125 [Conv] inputs: [250 -> (1, 128, 40, 40)], [model.13.m.0.cv2.conv.weight -> (128, 128, 3, 3)], [model.13.m.0.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_125 for ONNX node: Conv_125
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 251 for ONNX tensor: 251
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_125 [Conv] outputs: [251 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_126 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 251
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_126 [Sigmoid] inputs: [251 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_126 for ONNX node: Sigmoid_126
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 252 for ONNX tensor: 252
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_126 [Sigmoid] outputs: [252 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_127 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 251
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 252
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_127 [Mul] inputs: [251 -> (1, 128, 40, 40)], [252 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_127 for ONNX node: Mul_127
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 253 for ONNX tensor: 253
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_127 [Mul] outputs: [253 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_128 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 244
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_128 [Conv] inputs: [244 -> (1, 512, 40, 40)], [model.13.cv2.conv.weight -> (128, 512, 1, 1)], [model.13.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_128 for ONNX node: Conv_128
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 254 for ONNX tensor: 254
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_128 [Conv] outputs: [254 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_129 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 254
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_129 [Sigmoid] inputs: [254 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_129 for ONNX node: Sigmoid_129
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 255 for ONNX tensor: 255
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_129 [Sigmoid] outputs: [255 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_130 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 254
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 255
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_130 [Mul] inputs: [254 -> (1, 128, 40, 40)], [255 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_130 for ONNX node: Mul_130
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 256 for ONNX tensor: 256
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_130 [Mul] outputs: [256 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_131 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 253
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 256
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_131 [Concat] inputs: [253 -> (1, 128, 40, 40)], [256 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_131 for ONNX node: Concat_131
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 257 for ONNX tensor: 257
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_131 [Concat] outputs: [257 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_132 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 257
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.13.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_132 [Conv] inputs: [257 -> (1, 256, 40, 40)], [model.13.cv3.conv.weight -> (256, 256, 1, 1)], [model.13.cv3.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_132 for ONNX node: Conv_132
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 258 for ONNX tensor: 258
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_132 [Conv] outputs: [258 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_133 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 258
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_133 [Sigmoid] inputs: [258 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_133 for ONNX node: Sigmoid_133
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 259 for ONNX tensor: 259
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_133 [Sigmoid] outputs: [259 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_134 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 258
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 259
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_134 [Mul] inputs: [258 -> (1, 256, 40, 40)], [259 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_134 for ONNX node: Mul_134
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 260 for ONNX tensor: 260
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_134 [Mul] outputs: [260 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_135 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 260
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.14.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.14.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_135 [Conv] inputs: [260 -> (1, 256, 40, 40)], [model.14.conv.weight -> (128, 256, 1, 1)], [model.14.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_135 for ONNX node: Conv_135
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 261 for ONNX tensor: 261
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_135 [Conv] outputs: [261 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_136 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 261
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_136 [Sigmoid] inputs: [261 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_136 for ONNX node: Sigmoid_136
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 262 for ONNX tensor: 262
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_136 [Sigmoid] outputs: [262 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_137 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 261
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 262
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_137 [Mul] inputs: [261 -> (1, 128, 40, 40)], [262 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_137 for ONNX node: Mul_137
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 263 for ONNX tensor: 263
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_137 [Mul] outputs: [263 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Resize_138 [Resize]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 263
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 526
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Resize_138 [Resize] inputs: [263 -> (1, 128, 40, 40)], [optional input, not set], [526 -> (4)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Resize_138 for ONNX node: Resize_138
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 268 for ONNX tensor: 268
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Resize_138 [Resize] outputs: [268 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_139 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 268
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 171
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_139 [Concat] inputs: [268 -> (1, 128, 80, 80)], [171 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_139 for ONNX node: Concat_139
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 269 for ONNX tensor: 269
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_139 [Concat] outputs: [269 -> (1, 256, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_140 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 269
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_140 [Conv] inputs: [269 -> (1, 256, 80, 80)], [model.17.cv1.conv.weight -> (64, 256, 1, 1)], [model.17.cv1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_140 for ONNX node: Conv_140
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 270 for ONNX tensor: 270
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_140 [Conv] outputs: [270 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_141 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 270
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_141 [Sigmoid] inputs: [270 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_141 for ONNX node: Sigmoid_141
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 271 for ONNX tensor: 271
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_141 [Sigmoid] outputs: [271 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_142 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 270
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 271
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_142 [Mul] inputs: [270 -> (1, 64, 80, 80)], [271 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_142 for ONNX node: Mul_142
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 272 for ONNX tensor: 272
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_142 [Mul] outputs: [272 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_143 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 272
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_143 [Conv] inputs: [272 -> (1, 64, 80, 80)], [model.17.m.0.cv1.conv.weight -> (64, 64, 1, 1)], [model.17.m.0.cv1.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_143 for ONNX node: Conv_143
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 273 for ONNX tensor: 273
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_143 [Conv] outputs: [273 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_144 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 273
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_144 [Sigmoid] inputs: [273 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_144 for ONNX node: Sigmoid_144
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 274 for ONNX tensor: 274
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_144 [Sigmoid] outputs: [274 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_145 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 273
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 274
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_145 [Mul] inputs: [273 -> (1, 64, 80, 80)], [274 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_145 for ONNX node: Mul_145
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 275 for ONNX tensor: 275
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_145 [Mul] outputs: [275 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_146 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 275
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_146 [Conv] inputs: [275 -> (1, 64, 80, 80)], [model.17.m.0.cv2.conv.weight -> (64, 64, 3, 3)], [model.17.m.0.cv2.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_146 for ONNX node: Conv_146
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 276 for ONNX tensor: 276
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_146 [Conv] outputs: [276 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_147 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 276
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_147 [Sigmoid] inputs: [276 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_147 for ONNX node: Sigmoid_147
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 277 for ONNX tensor: 277
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_147 [Sigmoid] outputs: [277 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_148 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 276
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 277
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_148 [Mul] inputs: [276 -> (1, 64, 80, 80)], [277 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_148 for ONNX node: Mul_148
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 278 for ONNX tensor: 278
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_148 [Mul] outputs: [278 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_149 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 269
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_149 [Conv] inputs: [269 -> (1, 256, 80, 80)], [model.17.cv2.conv.weight -> (64, 256, 1, 1)], [model.17.cv2.conv.bias -> (64)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_149 for ONNX node: Conv_149
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 279 for ONNX tensor: 279
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_149 [Conv] outputs: [279 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_150 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 279
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_150 [Sigmoid] inputs: [279 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_150 for ONNX node: Sigmoid_150
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 280 for ONNX tensor: 280
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_150 [Sigmoid] outputs: [280 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_151 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 279
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 280
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_151 [Mul] inputs: [279 -> (1, 64, 80, 80)], [280 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_151 for ONNX node: Mul_151
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 281 for ONNX tensor: 281
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_151 [Mul] outputs: [281 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_152 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 278
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 281
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_152 [Concat] inputs: [278 -> (1, 64, 80, 80)], [281 -> (1, 64, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_152 for ONNX node: Concat_152
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 282 for ONNX tensor: 282
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_152 [Concat] outputs: [282 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_153 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 282
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.17.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_153 [Conv] inputs: [282 -> (1, 128, 80, 80)], [model.17.cv3.conv.weight -> (128, 128, 1, 1)], [model.17.cv3.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_153 for ONNX node: Conv_153
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 283 for ONNX tensor: 283
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_153 [Conv] outputs: [283 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_154 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 283
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_154 [Sigmoid] inputs: [283 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_154 for ONNX node: Sigmoid_154
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 284 for ONNX tensor: 284
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_154 [Sigmoid] outputs: [284 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_155 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 283
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 284
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_155 [Mul] inputs: [283 -> (1, 128, 80, 80)], [284 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_155 for ONNX node: Mul_155
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 285 for ONNX tensor: 285
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_155 [Mul] outputs: [285 -> (1, 128, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_156 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 285
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.18.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.18.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_156 [Conv] inputs: [285 -> (1, 128, 80, 80)], [model.18.conv.weight -> (128, 128, 3, 3)], [model.18.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_156 for ONNX node: Conv_156
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 286 for ONNX tensor: 286
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_156 [Conv] outputs: [286 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_157 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 286
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_157 [Sigmoid] inputs: [286 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_157 for ONNX node: Sigmoid_157
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 287 for ONNX tensor: 287
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_157 [Sigmoid] outputs: [287 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_158 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 286
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 287
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_158 [Mul] inputs: [286 -> (1, 128, 40, 40)], [287 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_158 for ONNX node: Mul_158
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 288 for ONNX tensor: 288
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_158 [Mul] outputs: [288 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_159 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 288
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 263
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_159 [Concat] inputs: [288 -> (1, 128, 40, 40)], [263 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_159 for ONNX node: Concat_159
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 289 for ONNX tensor: 289
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_159 [Concat] outputs: [289 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_160 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 289
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_160 [Conv] inputs: [289 -> (1, 256, 40, 40)], [model.20.cv1.conv.weight -> (128, 256, 1, 1)], [model.20.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_160 for ONNX node: Conv_160
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 290 for ONNX tensor: 290
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_160 [Conv] outputs: [290 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_161 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 290
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_161 [Sigmoid] inputs: [290 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_161 for ONNX node: Sigmoid_161
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 291 for ONNX tensor: 291
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_161 [Sigmoid] outputs: [291 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_162 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 290
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 291
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_162 [Mul] inputs: [290 -> (1, 128, 40, 40)], [291 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_162 for ONNX node: Mul_162
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 292 for ONNX tensor: 292
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_162 [Mul] outputs: [292 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_163 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 292
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_163 [Conv] inputs: [292 -> (1, 128, 40, 40)], [model.20.m.0.cv1.conv.weight -> (128, 128, 1, 1)], [model.20.m.0.cv1.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_163 for ONNX node: Conv_163
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 293 for ONNX tensor: 293
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_163 [Conv] outputs: [293 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_164 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 293
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_164 [Sigmoid] inputs: [293 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_164 for ONNX node: Sigmoid_164
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 294 for ONNX tensor: 294
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_164 [Sigmoid] outputs: [294 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_165 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 293
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 294
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_165 [Mul] inputs: [293 -> (1, 128, 40, 40)], [294 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_165 for ONNX node: Mul_165
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 295 for ONNX tensor: 295
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_165 [Mul] outputs: [295 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_166 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 295
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_166 [Conv] inputs: [295 -> (1, 128, 40, 40)], [model.20.m.0.cv2.conv.weight -> (128, 128, 3, 3)], [model.20.m.0.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_166 for ONNX node: Conv_166
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 296 for ONNX tensor: 296
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_166 [Conv] outputs: [296 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_167 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 296
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_167 [Sigmoid] inputs: [296 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_167 for ONNX node: Sigmoid_167
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 297 for ONNX tensor: 297
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_167 [Sigmoid] outputs: [297 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_168 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 296
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 297
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_168 [Mul] inputs: [296 -> (1, 128, 40, 40)], [297 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_168 for ONNX node: Mul_168
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 298 for ONNX tensor: 298
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_168 [Mul] outputs: [298 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_169 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 289
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_169 [Conv] inputs: [289 -> (1, 256, 40, 40)], [model.20.cv2.conv.weight -> (128, 256, 1, 1)], [model.20.cv2.conv.bias -> (128)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_169 for ONNX node: Conv_169
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 299 for ONNX tensor: 299
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_169 [Conv] outputs: [299 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_170 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 299
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_170 [Sigmoid] inputs: [299 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_170 for ONNX node: Sigmoid_170
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 300 for ONNX tensor: 300
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_170 [Sigmoid] outputs: [300 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_171 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 299
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 300
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_171 [Mul] inputs: [299 -> (1, 128, 40, 40)], [300 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_171 for ONNX node: Mul_171
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 301 for ONNX tensor: 301
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_171 [Mul] outputs: [301 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_172 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 298
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 301
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_172 [Concat] inputs: [298 -> (1, 128, 40, 40)], [301 -> (1, 128, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_172 for ONNX node: Concat_172
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 302 for ONNX tensor: 302
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_172 [Concat] outputs: [302 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_173 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 302
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.20.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_173 [Conv] inputs: [302 -> (1, 256, 40, 40)], [model.20.cv3.conv.weight -> (256, 256, 1, 1)], [model.20.cv3.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_173 for ONNX node: Conv_173
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 303 for ONNX tensor: 303
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_173 [Conv] outputs: [303 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_174 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 303
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_174 [Sigmoid] inputs: [303 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_174 for ONNX node: Sigmoid_174
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 304 for ONNX tensor: 304
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_174 [Sigmoid] outputs: [304 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_175 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 303
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 304
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_175 [Mul] inputs: [303 -> (1, 256, 40, 40)], [304 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_175 for ONNX node: Mul_175
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 305 for ONNX tensor: 305
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_175 [Mul] outputs: [305 -> (1, 256, 40, 40)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_176 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 305
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.21.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.21.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_176 [Conv] inputs: [305 -> (1, 256, 40, 40)], [model.21.conv.weight -> (256, 256, 3, 3)], [model.21.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 40, 40)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (1, 1), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_176 for ONNX node: Conv_176
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 306 for ONNX tensor: 306
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_176 [Conv] outputs: [306 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_177 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 306
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_177 [Sigmoid] inputs: [306 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_177 for ONNX node: Sigmoid_177
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 307 for ONNX tensor: 307
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_177 [Sigmoid] outputs: [307 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_178 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 306
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 307
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_178 [Mul] inputs: [306 -> (1, 256, 20, 20)], [307 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_178 for ONNX node: Mul_178
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 308 for ONNX tensor: 308
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_178 [Mul] outputs: [308 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_179 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 308
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 238
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_179 [Concat] inputs: [308 -> (1, 256, 20, 20)], [238 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_179 for ONNX node: Concat_179
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 309 for ONNX tensor: 309
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_179 [Concat] outputs: [309 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_180 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 309
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_180 [Conv] inputs: [309 -> (1, 512, 20, 20)], [model.23.cv1.conv.weight -> (256, 512, 1, 1)], [model.23.cv1.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_180 for ONNX node: Conv_180
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 310 for ONNX tensor: 310
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_180 [Conv] outputs: [310 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_181 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 310
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_181 [Sigmoid] inputs: [310 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_181 for ONNX node: Sigmoid_181
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 311 for ONNX tensor: 311
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_181 [Sigmoid] outputs: [311 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_182 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 310
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 311
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_182 [Mul] inputs: [310 -> (1, 256, 20, 20)], [311 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_182 for ONNX node: Mul_182
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 312 for ONNX tensor: 312
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_182 [Mul] outputs: [312 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_183 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 312
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.m.0.cv1.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.m.0.cv1.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_183 [Conv] inputs: [312 -> (1, 256, 20, 20)], [model.23.m.0.cv1.conv.weight -> (256, 256, 1, 1)], [model.23.m.0.cv1.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_183 for ONNX node: Conv_183
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 313 for ONNX tensor: 313
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_183 [Conv] outputs: [313 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_184 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 313
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_184 [Sigmoid] inputs: [313 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_184 for ONNX node: Sigmoid_184
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 314 for ONNX tensor: 314
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_184 [Sigmoid] outputs: [314 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_185 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 313
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 314
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_185 [Mul] inputs: [313 -> (1, 256, 20, 20)], [314 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_185 for ONNX node: Mul_185
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 315 for ONNX tensor: 315
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_185 [Mul] outputs: [315 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_186 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 315
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.m.0.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.m.0.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_186 [Conv] inputs: [315 -> (1, 256, 20, 20)], [model.23.m.0.cv2.conv.weight -> (256, 256, 3, 3)], [model.23.m.0.cv2.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (1, 1), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_186 for ONNX node: Conv_186
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 316 for ONNX tensor: 316
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_186 [Conv] outputs: [316 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_187 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 316
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_187 [Sigmoid] inputs: [316 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_187 for ONNX node: Sigmoid_187
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 317 for ONNX tensor: 317
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_187 [Sigmoid] outputs: [317 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_188 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 316
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 317
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_188 [Mul] inputs: [316 -> (1, 256, 20, 20)], [317 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_188 for ONNX node: Mul_188
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 318 for ONNX tensor: 318
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_188 [Mul] outputs: [318 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_189 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 309
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv2.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv2.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_189 [Conv] inputs: [309 -> (1, 512, 20, 20)], [model.23.cv2.conv.weight -> (256, 512, 1, 1)], [model.23.cv2.conv.bias -> (256)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_189 for ONNX node: Conv_189
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 319 for ONNX tensor: 319
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_189 [Conv] outputs: [319 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_190 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 319
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_190 [Sigmoid] inputs: [319 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_190 for ONNX node: Sigmoid_190
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 320 for ONNX tensor: 320
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_190 [Sigmoid] outputs: [320 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_191 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 319
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 320
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_191 [Mul] inputs: [319 -> (1, 256, 20, 20)], [320 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_191 for ONNX node: Mul_191
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 321 for ONNX tensor: 321
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_191 [Mul] outputs: [321 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Concat_192 [Concat]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 318
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 321
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Concat_192 [Concat] inputs: [318 -> (1, 256, 20, 20)], [321 -> (1, 256, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Concat_192 for ONNX node: Concat_192
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 322 for ONNX tensor: 322
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Concat_192 [Concat] outputs: [322 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_193 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 322
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv3.conv.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.23.cv3.conv.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_193 [Conv] inputs: [322 -> (1, 512, 20, 20)], [model.23.cv3.conv.weight -> (512, 512, 1, 1)], [model.23.cv3.conv.bias -> (512)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 20, 20)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_193 for ONNX node: Conv_193
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 323 for ONNX tensor: 323
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_193 [Conv] outputs: [323 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Sigmoid_194 [Sigmoid]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 323
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Sigmoid_194 [Sigmoid] inputs: [323 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Sigmoid_194 for ONNX node: Sigmoid_194
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 324 for ONNX tensor: 324
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Sigmoid_194 [Sigmoid] outputs: [324 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Mul_195 [Mul]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 323
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 324
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Mul_195 [Mul] inputs: [323 -> (1, 512, 20, 20)], [324 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Mul_195 for ONNX node: Mul_195
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 325 for ONNX tensor: 325
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Mul_195 [Mul] outputs: [325 -> (1, 512, 20, 20)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Conv_196 [Conv]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 285
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.24.m.0.weight
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: model.24.m.0.bias
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Conv_196 [Conv] inputs: [285 -> (1, 128, 80, 80)], [model.24.m.0.weight -> (255, 128, 1, 1)], [model.24.m.0.bias -> (255)], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 255
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:525: Convolution output dimensions: (1, 255, 80, 80)
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Conv_196 for ONNX node: Conv_196
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 326 for ONNX tensor: 326
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Conv_196 [Conv] outputs: [326 -> (1, 255, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Shape_197 [Shape]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 326
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Shape_197 [Shape] inputs: [326 -> (1, 255, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Shape_197 for ONNX node: Shape_197
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 327 for ONNX tensor: 327
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Shape_197 [Shape] outputs: [327 -> (4)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Constant_198 [Constant]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Constant_198 [Constant] inputs: 
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Constant_198 [Constant] outputs: [328 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Gather_199 [Gather]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 327
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 328
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Gather_199 [Gather] inputs: [327 -> (4)], [328 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:942: Using Gather axis: 0
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Gather_199 for ONNX node: Gather_199
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 329 for ONNX tensor: 329
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Gather_199 [Gather] outputs: [329 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Shape_200 [Shape]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 326
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Shape_200 [Shape] inputs: [326 -> (1, 255, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Shape_200 for ONNX node: Shape_200
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 330 for ONNX tensor: 330
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Shape_200 [Shape] outputs: [330 -> (4)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Constant_201 [Constant]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Constant_201 [Constant] inputs: 
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Constant_201 [Constant] outputs: [331 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Gather_202 [Gather]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 330
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 331
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Gather_202 [Gather] inputs: [330 -> (4)], [331 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:942: Using Gather axis: 0
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Gather_202 for ONNX node: Gather_202
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 332 for ONNX tensor: 332
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Gather_202 [Gather] outputs: [332 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Shape_203 [Shape]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 326
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Shape_203 [Shape] inputs: [326 -> (1, 255, 80, 80)], 
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Shape_203 for ONNX node: Shape_203
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 333 for ONNX tensor: 333
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Shape_203 [Shape] outputs: [333 -> (4)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Constant_204 [Constant]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Constant_204 [Constant] inputs: 
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Constant_204 [Constant] outputs: [334 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Gather_205 [Gather]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 333
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 334
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Gather_205 [Gather] inputs: [333 -> (4)], [334 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] builtin_op_importers.cpp:942: Using Gather axis: 0
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:122: Registering layer: Gather_205 for ONNX node: Gather_205
[03/01/2022-11:12:06] [V] [TRT] ImporterContext.hpp:97: Registering tensor: 335 for ONNX tensor: 335
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Gather_205 [Gather] outputs: [335 -> ()], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Constant_206 [Constant]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Constant_206 [Constant] inputs: 
[03/01/2022-11:12:06] [W] [TRT] onnx2trt_utils.cpp:198: Your ONNX model has been generated with INT64 weights, while TensorRT does not natively support INT64. Attempting to cast down to INT32.
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:180: Constant_206 [Constant] outputs: [338 -> (1)], 
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:107: Parsing node: Unsqueeze_207 [Unsqueeze]
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 329
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:123: Searching for input: 338
[03/01/2022-11:12:06] [V] [TRT] ModelImporter.cpp:129: Unsqueeze_207 [Unsqueeze] inputs: [329 -> ()], [338 -> (1)], 
terminate called after throwing an instance of 'std::out_of_range'
  what():  Attribute not found: axes
Aborted (core dumped)

and no error with the engine file

&&&& RUNNING TensorRT.trtexec # ./trtexec --loadEngine=yolov5s.engine --batch=1 --verbose
[03/01/2022-11:28:42] [I] === Model Options ===
[03/01/2022-11:28:42] [I] Format: *
[03/01/2022-11:28:42] [I] Model: 
[03/01/2022-11:28:42] [I] Output:
[03/01/2022-11:28:42] [I] === Build Options ===
[03/01/2022-11:28:42] [I] Max batch: 1
[03/01/2022-11:28:42] [I] Workspace: 16 MB
[03/01/2022-11:28:42] [I] minTiming: 1
[03/01/2022-11:28:42] [I] avgTiming: 8
[03/01/2022-11:28:42] [I] Precision: FP32
[03/01/2022-11:28:42] [I] Calibration: 
[03/01/2022-11:28:42] [I] Safe mode: Disabled
[03/01/2022-11:28:42] [I] Save engine: 
[03/01/2022-11:28:42] [I] Load engine: yolov5s.engine
[03/01/2022-11:28:42] [I] Inputs format: fp32:CHW
[03/01/2022-11:28:42] [I] Outputs format: fp32:CHW
[03/01/2022-11:28:42] [I] Input build shapes: model
[03/01/2022-11:28:42] [I] === System Options ===
[03/01/2022-11:28:42] [I] Device: 0
[03/01/2022-11:28:42] [I] DLACore: 
[03/01/2022-11:28:42] [I] Plugins:
[03/01/2022-11:28:42] [I] === Inference Options ===
[03/01/2022-11:28:42] [I] Batch: 1
[03/01/2022-11:28:42] [I] Iterations: 10
[03/01/2022-11:28:42] [I] Duration: 3s (+ 200ms warm up)
[03/01/2022-11:28:42] [I] Sleep time: 0ms
[03/01/2022-11:28:42] [I] Streams: 1
[03/01/2022-11:28:42] [I] ExposeDMA: Disabled
[03/01/2022-11:28:42] [I] Spin-wait: Disabled
[03/01/2022-11:28:42] [I] Multithreading: Disabled
[03/01/2022-11:28:42] [I] CUDA Graph: Disabled
[03/01/2022-11:28:42] [I] Skip inference: Disabled
[03/01/2022-11:28:42] [I] Input inference shapes: model
[03/01/2022-11:28:42] [I] Inputs:
[03/01/2022-11:28:42] [I] === Reporting Options ===
[03/01/2022-11:28:42] [I] Verbose: Enabled
[03/01/2022-11:28:42] [I] Averages: 10 inferences
[03/01/2022-11:28:42] [I] Percentile: 99
[03/01/2022-11:28:42] [I] Dump output: Disabled
[03/01/2022-11:28:42] [I] Profile: Disabled
[03/01/2022-11:28:42] [I] Export timing to JSON file: 
[03/01/2022-11:28:42] [I] Export output to JSON file: 
[03/01/2022-11:28:42] [I] Export profile to JSON file: 
[03/01/2022-11:28:42] [I] 
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::GridAnchor_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::NMS_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Reorg_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Region_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Clip_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::LReLU_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::PriorBox_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Normalize_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::RPROI_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::BatchedNMS_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::FlattenConcat_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::CropAndResize
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::DetectionLayer_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Proposal
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::ProposalLayer_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::PyramidROIAlign_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::ResizeNearest_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::Split
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::SpecialSlice_TRT
[03/01/2022-11:28:42] [V] [TRT] Plugin creator registration succeeded - ::InstanceNormalization_TRT
[03/01/2022-11:28:43] [V] [TRT] Deserialize required 885216 microseconds.
[03/01/2022-11:28:43] [W] [TRT] Current optimization profile is: 0. Please ensure there are no enqueued operations pending in this context prior to switching profiles
[03/01/2022-11:28:43] [W] [TRT] Explicit batch network detected and batch size specified, use enqueue without batch size instead.
[03/01/2022-11:28:47] [I] Warmup completed 34 queries over 200 ms
[03/01/2022-11:28:47] [I] Timing trace has 594 queries over 3.01403 s
[03/01/2022-11:28:47] [I] Trace averages of 10 runs:
[03/01/2022-11:28:47] [I] Average on 10 runs - GPU latency: 5.15921 ms - Host latency: 6.88754 ms (end to end 9.96947 ms)
[03/01/2022-11:28:47] [I] Host latency
[03/01/2022-11:28:47] [I] min: 6.26825 ms (end to end 8.1282 ms)
[03/01/2022-11:28:47] [I] max: 8.10938 ms (end to end 11.0569 ms)
[03/01/2022-11:28:47] [I] mean: 6.7875 ms (end to end 9.81555 ms)
[03/01/2022-11:28:47] [I] median: 6.82288 ms (end to end 9.77625 ms)
[03/01/2022-11:28:47] [I] percentile: 7.53218 ms at 99% (end to end 10.8849 ms at 99%)
[03/01/2022-11:28:47] [I] throughput: 197.079 qps
[03/01/2022-11:28:47] [I] walltime: 3.01403 s
[03/01/2022-11:28:47] [I] GPU Compute
[03/01/2022-11:28:47] [I] min: 4.54861 ms
[03/01/2022-11:28:47] [I] max: 6.4043 ms
[03/01/2022-11:28:47] [I] mean: 5.05268 ms
[03/01/2022-11:28:47] [I] median: 5.08521 ms
[03/01/2022-11:28:47] [I] percentile: 5.7804 ms at 99%
[03/01/2022-11:28:47] [I] total compute time: 3.00129 s
&&&& PASSED TensorRT.trtexec # ./trtexec --loadEngine=yolov5s.engine --batch=1 --verbose

BTW, I’ve already tested it on python, and everything worked fine.
Thanks for your reply. :)

Hi,

Also looks like you’re using an old version of the TensorRT. We recommend you please use the latest TensorRT version 8.4 EA for better results.
https://developer.nvidia.com/nvidia-tensorrt-8x-download

Thank you.