name: CI complete testing # 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 pull_request: branches: - master # Trigger the workflow on push or pull request # on: [push, pull_request] jobs: pytest: runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: os: [ubuntu-18.04, windows-2019, macOS-10.15] python-version: [3.6, 3.7, 3.8] requires: ['minimal', 'latest'] exclude: # excludes PT 1.3 as it is missing on pypi - python-version: 3.8 requires: 'minimal' # TODO: temporary fix till hanging jobs on macOS for py38 is resolved - python-version: 3.8 os: macOS-10.15 # Timeout: https://stackoverflow.com/a/59076067/4521646 timeout-minutes: 25 steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - name: Update Pip run: | pip install --quiet "pip>=20.1" --upgrade --user # needed for get pip cacher folder # Github Actions: Run step on specific OS: https://stackoverflow.com/a/57948488/4521646 - name: Setup macOS if: runner.os == 'macOS' run: | brew install libomp # https://github.com/pytorch/pytorch/issues/20030 brew install openmpi # Horovod on macOS requires OpenMPI, Gloo not currently supported - name: Setup Windows if: runner.os == 'windows' run: | # remove Horovod from requirements python -c "fname = 'requirements/extra.txt' ; lines = [line for line in open(fname).readlines() if not line.startswith('horovod')] ; open(fname, 'w').writelines(lines)" # versions <= 1.3 may have issues on mac with some BLAS ops due to missing mkl (https://github.com/pytorch/pytorch/issues/18996) - name: Setup MacOS Minimal if: runner.os == 'macOS' && matrix.requires == 'minimal' run : | python -c "fname = 'requirements/base.txt' ; req = open(fname).read().replace('torch>=1.3', 'torch>=1.4') ; open(fname, 'w').write(req)" - name: Set min. dependencies if: matrix.requires == 'minimal' run: | python -c "fname = 'requirements/base.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)" python -c "fname = 'requirements/extra.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)" python -c "fname = 'requirements/devel.txt' ; req = open(fname).read().replace('>=', '==') ; open(fname, 'w').write(req)" # Note: This uses an internal pip API and may not always work # https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow - name: Get pip cache dir id: pip-cache run: | echo "::set-output name=dir::$(pip cache dir)" - name: pip cache uses: actions/cache@v2 with: path: ${{ steps.pip-cache.outputs.dir }} key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-pip-${{ hashFiles('requirements/base.txt') }}-${{ hashFiles('requirements/extra.txt') }} restore-keys: | ${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ matrix.requires }}-pip- - name: Install dependencies run: | # python -m pip install --upgrade --user pip pip install --requirement requirements/base.txt --find-links https://download.pytorch.org/whl/cpu/torch_stable.html --quiet --upgrade HOROVOD_BUILD_ARCH_FLAGS="-mfma" pip install --requirement ./requirements/devel.txt --quiet --upgrade-strategy "only-if-needed" python --version pip --version pip list shell: bash - name: Reinstall Horovod if necessary if: runner.os != 'windows' run: | HOROVOD_BUILT=$(python -c "import horovod.torch; horovod.torch.nccl_built(); print('SUCCESS')" || true) if [[ $HOROVOD_BUILT != "SUCCESS" ]]; then pip uninstall -y horovod HOROVOD_BUILD_ARCH_FLAGS="-mfma" pip install --no-cache-dir $(grep "horovod" requirements/extra.txt) fi horovodrun --check-build shell: bash - name: Cache datasets uses: actions/cache@v2 with: path: Datasets # This path is specific to Ubuntu # Look to see if there is a cache hit for the corresponding requirements file key: pl-dataset - name: Tests run: | # NOTE: do not include coverage report here, see: https://github.com/nedbat/coveragepy/issues/1003 coverage run --source pytorch_lightning -m pytest pytorch_lightning tests -v --junitxml=junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml - name: Upload pytest test results uses: actions/upload-artifact@master with: name: pytest-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }} path: junit/test-results-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.requires }}.xml # Use always() to always run this step to publish test results when there are test failures if: always() - name: Statistics if: success() run: | coverage report coverage xml - name: Upload coverage to Codecov uses: codecov/codecov-action@v1 if: always() with: token: ${{ secrets.CODECOV_TOKEN }} file: coverage.xml flags: cpu,pytest name: CPU-coverage fail_ci_if_error: false