cuda-ci.yml

name: CUDA GPU

# Only run this workflow when a Pull Request is labeled with the
# 'CUDA CI' label.
on:
  pull_request:
    types:
      - labeled

jobs:
  build_wheel:
    if: contains(github.event.pull_request.labels.*.name, 'CUDA CI')
    runs-on: "ubuntu-latest"
    name: Build wheel for Pull Request
    steps:
      - uses: actions/checkout@v4

      - name: Build wheels
        uses: pypa/cibuildwheel@v2.21.3
        env:
          CIBW_BUILD: cp312-manylinux_x86_64
          CIBW_MANYLINUX_X86_64_IMAGE: manylinux2014
          CIBW_BUILD_VERBOSITY: 1
          CIBW_ARCHS: x86_64

      - uses: actions/upload-artifact@v4
        with:
          name: cibw-wheels
          path: ./wheelhouse/*.whl

  tests:
    if: contains(github.event.pull_request.labels.*.name, 'CUDA CI')
    needs: [build_wheel]
    runs-on:
      group: cuda-gpu-runner-group
    # Set this high enough so that the tests can comforatble run. We set a
    # timeout to make abusing this workflow less attractive.
    timeout-minutes: 20
    name: Run Array API unit tests
    steps:
      - uses: actions/download-artifact@v4
        with:
          pattern: cibw-wheels
          path: ~/dist

      - uses: actions/setup-python@v5
        with:
          # XXX: The 3.12.4 release of Python on GitHub Actions is corrupted:
          # https://github.com/actions/setup-python/issues/886
          python-version: '3.12.3'
      - name: Checkout main repository
        uses: actions/checkout@v4
      - name: Cache conda environment
        id: cache-conda
        uses: actions/cache@v4
        with:
          path: ~/conda
          key: ${{ runner.os }}-build-${{ hashFiles('build_tools/github/create_gpu_environment.sh') }}-${{ hashFiles('build_tools/github/pylatest_conda_forge_cuda_array-api_linux-64_conda.lock') }}
      - name: Install miniforge
        if: ${{ steps.cache-conda.outputs.cache-hit != 'true' }}
        run: bash build_tools/github/create_gpu_environment.sh
      - name: Install scikit-learn
        run: |
          source "${HOME}/conda/etc/profile.d/conda.sh"
          conda activate sklearn
          pip install ~/dist/cibw-wheels/$(ls ~/dist/cibw-wheels)

      - name: Run array API tests
        run: |
          source "${HOME}/conda/etc/profile.d/conda.sh"
          conda activate sklearn
          python -c "import sklearn; sklearn.show_versions()"

          SCIPY_ARRAY_API=1 pytest --pyargs sklearn -k 'array_api'
        # Run in /home/runner to not load sklearn from the checkout repo
        working-directory: /home/runner