Yifan Li

Hi It seems the section **[Comparison with PyTorch](https://onnxruntime.ai/docs/tutorials/accelerate-pytorch/resnet-inferencing.html#comparison-with-pytorch)** has the same code as **[Comparison with OpenVINO](https://onnxruntime.ai/docs/tutorials/accelerate-pytorch/resnet-inferencing.html#comparison-with-openvino)**

Hi @mhoemmen any update on this?

Hi @HShamimGEHC, https://github.com/dusty-nv/jetson-containers there's a wide variety of containers designed for jetson, feel free to pick one which works on your case.

> Please remove lines with `4996` from the following files. > > * onnxruntime/core/providers/tensorrt/nv_includes.h > * onnxruntime/test/unittest_main/test_main.cc Thanks for the context. These 4996 usage have been reverted

Including nvinfer.h would cause C4996 errors during Windows ORT build, when `/Zc:__cplusplus` is enabled: nvinfer1::v_1_0::IGpuAllocator::allocate nvinfer1::v_1_0::IGpuAllocator::deallocate nvinfer1::IPluginV2 nvinfer1::IPluginV2Ext It seems that there are indirect usage of these api by TRT...

> was the rellocateOutput->reallocateOutputAsync change tested on Faster-RCNN with oss parser? That has been tested with no issue