build-windows-cuda-10.2.yml

name: Build Windows CUDA 10.2

on: 
  push:
    branches:
      - '**'
  workflow_dispatch:
    inputs:
      ssh:
        description: 'SSH connection to Actions'
        required: false
        default: false


jobs:
  build:
    runs-on: windows-2019
    steps:
    - uses: actions/checkout@v4
    - name: 读取 VERSION
      id: version
      run: |
        VERSION=$(sed -n 's/^VERSION = "\(.*\)"/\1/p' backend/config.py)
        echo "VERSION=$VERSION" >> $GITHUB_ENV
        echo "VERSION=$VERSION" >> $GITHUB_OUTPUT
      shell: bash
    # - name: 检查 tag 是否已存在
    #   run: |
    #     TAG_NAME="${VERSION}"
    #     if git ls-remote --tags origin | grep -q "refs/tags/$TAG_NAME"; then
    #       echo "Tag $TAG_NAME 已存在，发布中止"
    #       exit 1
    #     fi
    #   shell: bash
    - uses: actions/setup-python@v5
      with:
        python-version: '3.11'
        cache: 'pip' # caching pip dependencies
    - name: 部署 CUDA
      uses: Jimver/cuda-toolkit@v0.2.21
      id: cuda-toolkit
      with:
        cuda: '10.2.89'
    - run: echo "Installed cuda version is ${{steps.cuda-toolkit.outputs.cuda}}"
    - run: echo "Cuda install location ${{steps.cuda-toolkit.outputs.CUDA_PATH}}"
    - run: nvcc -V
    - run: git clean -df
    # 最后一个支持10.2版本的Paddle
    # https://www.paddlepaddle.org.cn/documentation/docs/en/2.5/install/Tables_en.html
    - run: python -m pip install paddlepaddle-gpu==2.5.2.post102 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html
    - run: pip install -r requirements.txt
    - run: pip freeze > requirements.txt
    - run: pip install QPT==1.0b8 setuptools
    - name: 获取 site-packages 路径
      shell: bash
      run: |
        SITE_PACKAGES=$(python -c "import site, os; print(os.path.join(site.getsitepackages()[0], 'Lib', 'site-packages'))")
        SITE_PACKAGES_UNIX=$(cygpath -u "$SITE_PACKAGES")
        echo "site-packages路径: $SITE_PACKAGES"
        echo "site-packages UNIX路径: $SITE_PACKAGES_UNIX"
        echo "SITE_PACKAGES_UNIX=$SITE_PACKAGES_UNIX" >> $GITHUB_ENV
        echo "SITE_PACKAGES=$SITE_PACKAGES" >> $GITHUB_ENV
    - name: 修复QPT内部错误
      run: sed -i '98c\        try:\n            dep = pkg.requires()\n        except TypeError:\n            continue' ${SITE_PACKAGES_UNIX}/qpt/kernel/qpackage.py
      shell: bash
    - name: Start SSH via tmate
      if: (github.event.inputs.ssh == 'true' && github.event.inputs.ssh  != 'false') || contains(github.event.action, 'ssh')
      uses: mxschmitt/action-tmate@v3
    - run: |
        python backend/tools/makedist.py --cuda=10.2 && \
        mv ../vse_out ./vse_out && \
        git checkout requirements.txt && \
        pip download -d ./vse_out/Debug/opt/packages/ paddlepaddle-gpu==2.5.2.post102 -f https://www.paddlepaddle.org.cn/whl/windows/mkl/avx/stable.html && \
        pip download -d ./vse_out/Debug/opt/packages/ -r requirements.txt && \
        cp -rfv ./vse_out/Debug/opt/packages/* ./vse_out/Release/opt/packages/ && \
        rm -fv ./vse_out/*/opt/packages/numpy-2* && \
        rm -fv ./vse_out/*/opt/packages/paddlepaddle-* && \
        rm -fv ./vse_out/*/opt/PaddlePaddlePackage/001-* 
      env:
        QPT_Action: "True"
        CUDA_PATH_V10_2: "${{steps.cuda-toolkit.outputs.CUDA_PATH}}"
      shell: bash
    - name: 部署 CUDNN
      shell: bash
      run: |
        curl -L -o cudnn.zip "https://developer.download.nvidia.cn/compute/redist/cudnn/v7.6.5/cudnn-10.2-windows10-x64-v7.6.5.32.zip" && \
        unzip -j cudnn.zip "*/bin/*" -d "./vse_out/Debug/opt/CUDA/" && \
        unzip -j cudnn.zip "*/bin/*" -d "./vse_out/Release/opt/CUDA/" && \
        rm -fv cudnn.zip
    - name: 上传 Debug 文件夹到 Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2-debug
        path: vse_out/Debug/
    - name: 上传 Release 文件夹到 Artifacts
      uses: actions/upload-artifact@v4
      with:
        name: vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2-release
        path: vse_out/Release/
    - name: 打包 Release 文件夹
      run: |
        cd vse_out/Release
        7z a -t7z -mx=9 -m0=LZMA2 -ms=on -mfb=64 -md=32m -mmt=on -v1888m vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z * && \
        # 检测是否只有一个分卷
        if [ -f vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z.001 ] && [ ! -f vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z.002 ]; then \
          mv vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z.001 vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z; fi
      shell: bash
    - name: Release
      uses: softprops/action-gh-release@v1
      with:
        prerelease: true
        tag_name: ${{ env.VERSION }}
        target_commitish: ${{ github.sha }}
        name: 硬字幕提取器 ${{ env.VERSION }}
        files: |
          vse_out/Release/vse-v${{ env.VERSION }}-windows-nvidia-cuda-10.2.7z*