name: Test # see: https://help.github.com/en/actions/reference/events-that-trigger-workflows on: # Trigger the workflow on push or pull request, but only for the master branch push: branches: [master, "release/*"] pull_request: branches: [master, "release/*"] jobs: conda: runs-on: ubuntu-20.04 container: pytorchlightning/pytorch_lightning:base-conda-py${{ matrix.python-version }}-torch${{ matrix.pytorch-version }} strategy: fail-fast: false matrix: python-version: ["3.8"] # previous to last Python version as that one is already used in test-full pytorch-version: ["1.7", "1.8", "1.9", "1.10"] # nightly: add when there's a release candidate timeout-minutes: 30 steps: - uses: actions/checkout@v2 - name: Update dependencies run: | conda info conda list # adjust versions according installed Torch version python ./requirements/adjust_versions.py requirements/extra.txt python ./requirements/adjust_versions.py requirements/examples.txt pip install --requirement requirements/devel.txt --find-links https://download.pytorch.org/whl/nightly/torch_nightly.html # set a per-test timeout of 2.5 minutes to fail sooner. this aids with hanging tests pip install pytest-timeout pip list - name: Pull checkpoints from S3 working-directory: ./legacy run: | # enter legacy and update checkpoints from S3 curl https://pl-public-data.s3.amazonaws.com/legacy/checkpoints.zip --output checkpoints.zip unzip -o checkpoints.zip ls -l checkpoints/ - name: Tests run: | coverage run --source pytorch_lightning -m pytest --timeout 150 pytorch_lightning tests -v --durations=50 --junitxml=junit/test-results-${{ runner.os }}-torch${{ matrix.pytorch-version }}.xml shell: bash -l {0} - name: Upload pytest results uses: actions/upload-artifact@v2 with: name: pytest-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }} path: junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml if: failure() - name: Statistics if: success() run: | coverage report coverage xml - name: Upload coverage to Codecov uses: codecov/codecov-action@v1 if: always() # see: https://github.com/actions/toolkit/issues/399 continue-on-error: true with: token: ${{ secrets.CODECOV_TOKEN }} file: coverage.xml flags: cpu,pytest,torch${{ matrix.pytorch-version }} name: CPU-coverage fail_ci_if_error: false