[parked] Use gpu runner in CI #266
Workflow file for this run
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| name: Unit Test | ||
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Check failure on line 1 in .github/workflows/unit_test.yaml
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| on: | ||
| pull_request: | ||
| jobs: | ||
| unit_tests: | ||
| runs-on: 4-core-ubuntu-gpu-t4 | ||
| timeout-minutes: 15 | ||
| strategy: | ||
| matrix: | ||
| python-version: ['3.10', '3.11', '3.12'] | ||
| steps: | ||
| - name: Check out repo | ||
| uses: actions/checkout@v4 | ||
| - name: Setup conda env | ||
| uses: conda-incubator/[email protected] | ||
| with: | ||
| auto-update-conda: true | ||
| miniconda-version: "latest" | ||
| activate-environment: test | ||
| python-version: ${{ matrix.python-version }} | ||
| - name: activate conda env | ||
| - run: conda activate test | ||
| - name: python is python3 | ||
| run: source .github/workflows/python_is_python3.sh | ||
| # - uses: Jimver/cuda-toolkit@master | ||
| # id: cuda-toolkit | ||
| # with: | ||
| # cuda: '12.9.0' | ||
| # log-file-suffix: '${{ matrix.python-version }}.txt' | ||
| - name: Update pip | ||
| run: python -m pip install --upgrade pip | ||
| - name: Check CUDA version | ||
| run: | | ||
| nvcc --version | ||
| nvidia-smi | ||
| - name: Install pytorch | ||
| run: python -m pip install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cu129 | ||
| - name: Install monarch | ||
| run: python -m pip install monarch-no-torch==0.1.0.dev20250826 --find-links assets/ci | ||
| - name: Install torchstore | ||
| run: | | ||
| eval "$(ssh-agent -s)" | ||
| ssh-add - <<< '${{ secrets.FORGE_GITHUB_CI_FOR_TORCHSTORE }}' | ||
| python -m pip install git+ssh://[email protected]/meta-pytorch/torchstore.git | ||
| - name: Install dependencies | ||
| run: python -m pip install --no-build-isolation -e ".[dev]" | ||
| - name: Run unit tests with coverage | ||
| # TODO add all tests | ||
| run: pytest tests/unit_tests --cov=. --cov-report=xml --durations=20 -vv | ||
| - name: Upload Coverage to Codecov | ||
| uses: codecov/codecov-action@v3 | ||
