1,使用aws dlami 啓動一個實例html
2,source activate tensorflow_p36linux
3,下載TensorRT 的 tar 安裝文件,參考 https://docs.nvidia.com/deeplearning/sdk/tensorrt-archived/tensorrt-515/tensorrt-install-guide/index.html#installing-taride
4,$ tar xzvf TensorRT-5.1.x.x.<os>.<arch>-gnu.cuda-x.x.cudnn7.x.tar.gzui
5,$ ls TensorRT-5.1.x.xcode
6,export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:<eg:TensorRT-5.1.x.x/lib>htm
7,pip install tensorrt-5.1.x.x-cp3x-none-linux_x86_64.whlblog
8,cd TensorRT-5.1.x.x/uffip
9,pip install uff-0.6.3-py2.py3-none-any.whlget
10,which convert-to-uffinput
11,cd TensorRT-5.1.x.x/graphsurgeon
12, pip install graphsurgeon-0.4.1-py2.py3-none-any.whl
13,convert-to-uff input_file