# Continuous Integration and Delivery ## Unit and Integration Testing | workflow name | workflow file | action | accelerator\* | (Python, PyTorch) | OS | | --------------------------- | ----------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- | ------------------------------------------------ | ------------------- | | Test full | .github/workflows/ci_test-full.yml | Run all tests except for accelerator-specific, standalone and slow tests. | CPU | (3.7, 1.8), (3.7, 1.11), (3.9, 1.8), (3.9, 1.11) | linux, mac, windows | | Test with Conda | .github/workflows/ci_test-conda.yml | Same as ci_test-full.yml but with dependencies installed with conda. | CPU | (3.8, 1.8), (3.8, 1.9), (3.8, 1.10), (3.9, 1.11) | linux | | Test slow | .github/workflows/ci_test-slow.yml | Run only slow tests. Slow tests usually need to spawn threads and cannot be speed up or simplified. | CPU | (3.7, 1.8) | linux, mac, windows | | PL.pytorch-lightning (IPUs) | .azure-pipelines/ipu-tests.yml | Run only IPU-specific tests. | IPU | (3.8, 1.9) | linux | | PL.pytorch-lightning (HPUs) | .azure-pipelines/hpu-tests.yml | Run only HPU-specific tests. | HPU | (3.8, 1.10) | linux | | PL.pytorch-lightning (GPUs) | .azure-pipelines/gpu-tests.yml | Run all CPU and GPU-specific tests, standalone and examples. Each standalone test needs to be run in separate processes to avoid unwanted interactions between test cases. | GPU | (3.7, 1.8) | linux | | PyTorchLightning.Benchmark | .azure-pipelines/gpu-benchmark.yml | Run speed/memory benchmarks for parity with pure PyTorch. | GPU | (3.7, 1.8) | linux | | test-on-tpus | .circleci/config.yml | Run only TPU-specific tests. | TPU | (3.7, 1.9) | linux | - \*Accelerators used in CI - GPU: 2 x NVIDIA P100 - TPU: Google GKE TPUv3 - IPU: [Colossus MK1 IPU](https://www.graphcore.ai/products/ipu) - HPU: [Intel Habana Gaudi SYS-420GH-TNGR](https://www.supermicro.com/en/products/system/AI/4U/SYS-420GH-TNGR) which has 8 Gaudi accelerators ## Documentation | workflow file | action | | --------------------------------- | -------------------------------------------------------------------------------------------- | | .github/workflows/docs-checks.yml | Run doctest, build documentation, and upload built docs to make them available as artifacts. | | .circleci/config.yml (build-docs) | Build docs and host them on output.circleci-artifacts.com for easy access to the built docs. | | .github/workflows/docs-link.yml | Provide a direct link to built docs on output.circleci-artifacts.com. | ## Code Quality | workflow file | action | | --------------------------------- | ----------------------------------------------------------------------------------------------------- | | .codecov.yml | Measure test coverage with [codecov.io](https://app.codecov.io/gh/PyTorchLightning/pytorch-lightning) | | .github/workflows/code-checks.yml | Check Python typing with [MyPy](https://mypy.readthedocs.io/en/stable/). | | .github/workflows/ci_schema.yml | Validate the syntax of workflow files. | ## Others | workflow file | action | | -------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | .github/workflows/ci_dockers.yml | Build docker images used for testing in CI without pushing to the [Docker Hub](https://hub.docker.com/r/pytorchlightning/pytorch_lightning). Publishing these built images takes place in `.github/release-docker.yml` which only runs in mater. | | .github/workflows/ci_pkg-install.yml | Test if pytorch-lightning is successfully installed using pip. | | .github/workflows/events-recurrent.yml | Terminate TPU jobs that live more than one hour to avoid possible resource exhaustion due to hangs. | ## Deployment | workflow file | action | | ---------------------------------------- | ---------------------------------------------------------------------------------- | | .github/workflows/release-pypi.yml | Publish a release to PyPI. | | .github/workflows/release-docker.yml | Build Docker images from dockers/\*/Dockerfile and publish them on hub.docker.com. | | .github/workflows/legacy-checkpoints.yml | App on request generate legacy checkpoints and upload them to AWS S3. | | .github/workflows/events-nightly.yml | Publish the package to TestPyPI. Publish Docker images on hub.docker.com. | ## Bots | workflow file | action | | ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | .github/mergify.yml | Label PRs as conflicts or ready, and request reviews if needed. | | .github/stale.yml | Close inactive issues/PRs sometimes after adding the "won't fix" label to them. | | .github/workflows/probot-auto-cc.yml, .github/lightning-probot.yml | Notify maintainers of interest depending on labels added to an issue We utilize lightning-probot forked from PyTorch’s probot. | | .pre-commit-config.yaml | pre-commit.ci runs a set of linters and formatters, such as black, flake8 and isort. When formatting is applied, the bot pushes a commit with its change. This configuration is also used for running pre-commit locally. | | .github/workflows/ci_pr-gatekeeper.yml | Prevent PRs from merging into master without any Grid.ai employees’ approval. |