2023-10-02 nightly release (45e4b8ca3615016625de15326a14668c8b58595d) #771
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| name: Unit-tests on Linux GPU | |
| on: | |
| pull_request: | |
| push: | |
| branches: | |
| - nightly | |
| - main | |
| - release/* | |
| workflow_dispatch: | |
| env: | |
| CHANNEL: "nightly" | |
| jobs: | |
| tests: | |
| strategy: | |
| matrix: | |
| python_version: ["3.8"] | |
| cuda_arch_version: ["11.7"] | |
| fail-fast: false | |
| uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
| with: | |
| runner: linux.g5.4xlarge.nvidia.gpu | |
| repository: pytorch/text | |
| gpu-arch-type: cuda | |
| gpu-arch-version: ${{ matrix.cuda_arch_version }} | |
| timeout: 120 | |
| script: | | |
| # Mark Build Directory Safe | |
| git config --global --add safe.directory /__w/text/text | |
| # Set up Environment Variables | |
| export PYTHON_VERSION="${{ matrix.python_version }}" | |
| export VERSION="${{ matrix.cuda_arch_version }}" | |
| export CUDATOOLKIT="pytorch-cuda=${VERSION}" | |
| # Set CHANNEL | |
| if [[ (${GITHUB_EVENT_NAME} = 'pull_request' && (${GITHUB_BASE_REF} = 'release'*)) || (${GITHUB_REF} = 'refs/heads/release'*) ]]; then | |
| export CHANNEL=test | |
| else | |
| export CHANNEL=nightly | |
| fi | |
| # Create Conda Env | |
| conda create --quiet -yp ci_env python="${PYTHON_VERSION}" | |
| conda activate /work/ci_env | |
| python3 -m pip --quiet install cmake>=3.18.0 ninja | |
| conda env update --file ".circleci/unittest/linux/scripts/environment.yml" --prune | |
| # TorchText-specific Setup | |
| printf "* Downloading SpaCy English models\n" | |
| python -m spacy download en_core_web_sm | |
| printf "* Downloading SpaCy German models\n" | |
| python -m spacy download de_core_news_sm | |
| # Install PyTorch and TorchData | |
| set -ex | |
| conda install \ | |
| --yes \ | |
| --quiet \ | |
| -c "pytorch-${CHANNEL}" \ | |
| -c nvidia "pytorch-${CHANNEL}"::pytorch[build="*${VERSION}*"] \ | |
| "${CUDATOOLKIT}" | |
| printf "Installing torchdata nightly\n" | |
| python3 -m pip install "portalocker>=2.0.0" | |
| python3 -m pip install --pre torchdata --extra-index-url https://download.pytorch.org/whl/nightly/cpu --quiet | |
| python3 setup.py develop | |
| python3 -m pip install parameterized --quiet | |
| # Run Tests | |
| python3 -m torch.utils.collect_env | |
| cd test | |
| python3 -m pytest --junitxml=test-results/junit.xml -v --durations 20 -m gpu_test torchtext_unittest |