mirror of https://github.com/Lightning-AI/pytorch-lightning.git synced 2026-04-02 02:07:46 +00:00

Files

Akihiro Nitta d211d46e1d CI: Replace _ of in GHA workflow filenames with - (#13917 )

* Rename workflow files

* Update docs

* Fix azure badges

* Update the main readme

* bad rebase

* Update doc

2022-08-10 11:35:41 +09:00

Continuous Integration and Delivery

Unit and Integration Testing

workflow name	workflow file	action	accelerator*	(Python, PyTorch)	OS
Test PyTorch full	.github/workflows/ci-pytorch-test-full.yml	Run all tests except for accelerator-specific, standalone and slow tests.	CPU	(3.7, 1.9), (3.7, 1.12), (3.9, 1.9), (3.9, 1.12)	linux, mac, windows
Test PyTorch with Conda	.github/workflows/ci-pytorch-test-conda.yml	Same as ci-pytorch-test-full.yml but with dependencies installed with conda.	CPU	(3.8, 1.9), (3.8, 1.10), (3.8, 1.11), (3.9, 1.12)	linux
Test slow	.github/workflows/ci-pytorch-test-slow.yml	Run only slow tests. Slow tests usually need to spawn threads and cannot be speed up or simplified.	CPU	(3.7, 1.11)	linux, mac, windows
pytorch-lightning (IPUs)	.azure-pipelines/ipu-tests.yml	Run only IPU-specific tests.	IPU	(3.8, 1.9)	linux
pytorch-lightning (HPUs)	.azure-pipelines/hpu-tests.yml	Run only HPU-specific tests.	HPU	(3.8, 1.10)	linux
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	(3.9, 1.12)	linux
PyTorchLightning.Benchmark	.azure-pipelines/gpu-benchmark.yml	Run speed/memory benchmarks for parity with pure PyTorch.	GPU	(3.9, 1.12)	linux
test-on-tpus	.circleci/config.yml	Run only TPU-specific tests.	TPU	(3.7, 1.12)	linux

*Accelerators used in CI
- GPU: 2 x NVIDIA Tesla V100
- TPU: Google GKE TPUv3
- IPU: Colossus MK1 IPU
- HPU: Intel Habana Gaudi SYS-420GH-TNGR which has 8 Gaudi accelerators

workflow file	action
.github/workflows/docs-checks.yml	Run doctest.

workflow file	action
.codecov.yml	Measure test coverage with codecov.io
.github/workflows/code-checks.yml	Check Python typing with MyPy.
.github/workflows/ci-schema.yml	Validate the syntax of workflow files.

workflow file	action
.github/workflows/cicd-pytorch-dockers.yml	Build docker images used for testing in CI. If run on nightly schedule, push to the Docker Hub.
.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.

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.

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.