**编译安装步骤**

- 1. 安装和选用dtk版本对应的pytorch torchvision whl（可在光合社区下载https://developer.hpccube.com/tool/）
  例如：
  
  pip install https://cancon.hpccube.com:65024/directlink/4/pytorch/dtk22.10/torch-1.10.0a0+git2040069.dtk2210-cp38-cp38-manylinux2014_x86_64.whl
  
  pip install https://cancon.hpccube.com:65024/directlink/4/vision/dtk22.10/torchvision-0.10.0a0+e04d001.dtk2210-cp38-cp38-manylinux2014_x86_64.whl

- 2. 自定义编译时的环境变量
  激活对应的conda环境：

  source ~/miniconda3/etc/profile.d/conda.sh

  conda activate torch1.10_py39_dtk22.10

  加载对应的module，包括dtk：

  module purge

  module load compiler/devtoolset/7.3.1 mpi/hpcx/gcc-7.3.1 compiler/dtk/22.10.1

  module list

  加载所需的依赖库的环境变量：

  export C_INCLUDE_PATH=/public/software/apps/DeepLearning/PyTorch_Lib/gflags-2.1.2-build/include:$C_INCLUDE_PATH

  export CPLUS_INCLUDE_PATH=/public/software/apps/DeepLearning/PyTorch_Lib/gflags-2.1.2-build/include:$CPLUS_INCLUDE_PATH

  export C_INCLUDE_PATH=/public/software/apps/DeepLearning/PyTorch_Lib/glog-build/include:$C_INCLUDE_PATH

  export CPLUS_INCLUDE_PATH=/public/software/apps/DeepLearning/PyTorch_Lib/glog-build/include:$CPLUS_INCLUDE_PATH

  export C_INCLUDE_PATH=$ROCM_PATH/rocrand/include:$C_INCLUDE_PATH

  export CPLUS_INCLUDE_PATH=$ROCM_PATH/rocrand/include:$CPLUS_INCLUDE_PATH

  export LD_LIBRARY_PATH=$ROCM_PATH/rocrand/lib:$LD_LIBRARY_PATH

  修改编译参数：
  
  export FORCE_ONLY_HIP=1

  export CC=hipcc

  export CXX=hipcc


- 3. 编译安装
  
  python setup.py install