README_HIP.md

**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
    
    pip install -r requirements.txt

- 2. 添加编译时的conda环境及部分库的环境变量
    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（根据各集群实际路径调整）：

    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

    修改编译器环境变量：
  
    export FORCE_ONLY_HIP=1

    export CC=hipcc

    export CXX=hipcc

- 3. 编译安装
  
    python setup.py install