ENH add support for Array API to mean_pinball_loss and explained_variance_score
#351
Workflow file for this run
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| 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/[email protected] | |
| 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 |