lmdeploy/.github/workflows/linux_x64_gpu.yml

name: linux-x64-gpu
on:
  push:
    paths:
      - '.github/workflows/linux_x64_gpu.yml'
      - 'src/**'
      - 'CMakeLists.txt'
      - 'cmake/**'
      - 'examples/**'
      - '3rdparty/**'
      - 'tests/csrc/**'
  pull_request:
    paths:
      - '.github/workflows/linux_x64_gpu.yml'
      - 'src/**'
      - 'CMakeLists.txt'
      - 'cmake/**'
      - 'examples/**'
      - '3rdparty/**'
      - 'tests/csrc/**'
concurrency:
  group: linux-x64-gpu-${{ github.ref }}
  cancel-in-progress: true
permissions:
  contents: read

jobs:
  build:
    strategy:
      fail-fast: false
      matrix:
        cudaver: [12.4, 12.8]
    name: cuda-${{ matrix.cudaver }}
    runs-on: ubuntu-latest
    steps:
      - name: Free disk space
        uses: jlumbroso/free-disk-space@main
        with:
          # This might remove tools that are actually needed, if set to "true" but frees about 6 GB
          tool-cache: false
          docker-images: false
          # All of these default to true, but feel free to set to "false" if necessary for your workflow
          android: true
          dotnet: true
          haskell: true
          large-packages: true
          swap-storage: false
      - name: Checkout repository
        uses: actions/checkout@v3
      - name: Build
        run: |
          docker run --rm \
            -v ${{ github.workspace }}:/work \
            -w /work \
            openmmlab/lmdeploy-builder:cuda${{ matrix.cudaver }} \
            bash -c "
              git config --global --add safe.directory /work && \
              source /opt/conda/bin/activate && \
              conda activate py310 && \
              pip install build && \
              python -m build --wheel
            "