lightning/.github/workflows
PL Ghost 12881e838a
docs: update ref to latest tutorials (#20132)
* update tutorials to `565f61a9`
* update CI
* skip link

---------

Co-authored-by: Borda <Borda@users.noreply.github.com>
Co-authored-by: jirka <jirka.borovec@seznam.cz>
2024-07-28 22:57:05 +02:00
..
README.md
_build-packages.yml
_legacy-checkpoints.yml
call-clear-cache.yml build(deps): bump Lightning-AI/utilities from 0.11.4 to 0.11.5 (#20112) 2024-07-22 05:31:27 -04:00
ci-check-md-links.yml build(deps): bump Lightning-AI/utilities from 0.11.4 to 0.11.5 (#20112) 2024-07-22 05:31:27 -04:00
ci-checkpoints.yml
ci-pkg-install.yml
ci-rtfd.yml
ci-schema.yml build(deps): bump Lightning-AI/utilities from 0.11.4 to 0.11.5 (#20112) 2024-07-22 05:31:27 -04:00
ci-tests-fabric.yml Switch to PyTorch 2.4 stable testing (#20126) 2024-07-25 06:59:43 -04:00
ci-tests-pytorch.yml Switch to PyTorch 2.4 stable testing (#20126) 2024-07-25 06:59:43 -04:00
cleanup-caches.yml
code-checks.yml
docker-build.yml Switch to PyTorch 2.4 stable testing (#20126) 2024-07-25 06:59:43 -04:00
docs-build.yml docs: update ref to latest tutorials (#20132) 2024-07-28 22:57:05 +02:00
docs-tutorials.yml
labeler-issue.yml
labeler-pr.yml
probot-auto-cc.yml
probot-check-group.yml
release-nightly.yml
release-pkg.yml
tpu-tests.yml

README.md

Continuous Integration and Delivery

Brief description of all our automation tools used for boosting development performances.

Unit and Integration Testing

workflow file action accelerator
.github/workflows/ci-tests-fabric.yml Run all tests except for accelerator-specific and standalone. CPU
.github/workflows/ci-tests-pytorch.yml Run all tests except for accelerator-specific and standalone. CPU
.github/workflows/ci-tests-data.yml Run unit and integration tests with data pipelining. CPU
.azure-pipelines/gpu-tests-fabric.yml Run only GPU-specific tests, standalone*, and examples. GPU
.azure-pipelines/gpu-tests-pytorch.yml Run only GPU-specific tests, standalone*, and examples. GPU
.azure-pipelines/gpu-benchmarks.yml Run speed/memory benchmarks for parity with vanila PyTorch. GPU
.github/workflows/ci-flagship-apps.yml Run end-2-end tests with full applications, including deployment to the production cloud. CPU
.github/workflows/ci-tests-pytorch.yml Run all tests except for accelerator-specific, standalone and slow tests. CPU
.github/workflows/tpu-tests.yml Run only TPU-specific tests. Requires that the PR title contains '[TPU]' TPU

* Each standalone test needs to be run in separate processes to avoid unwanted interactions between test cases.

  • Accelerators used in CI

  • To check which versions of Python or PyTorch are used for testing in our CI, see the corresponding workflow files or checkgroup config file at .github/checkgroup.yml.

Documentation

workflow file action
.github/workflows/docs-build.yml Run doctest, linkcheck and full HTML build.
.github/workflows/ci-rtfd.yml Append link to the PR description with temporaty ReadTheDocs build docs.
.github/workflows/ci-check-md-links.yml
.github/markdown.links.config.json
Validate links in markdown files.

Code Quality

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.

Others

workflow file action
.github/workflows/docker-build.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/ci-checkpoints.yml Build checkpoints that are will be tested on release to ensure backwards-compatibility

The published Docker Hub project is https://hub.docker.com/r/pytorchlightning/pytorch_lightning.

Deployment

workflow file action
.github/workflows/docs-build.yml Build the docs for each project and puch it to GCS with automatics deployment.
.github/workflows/docker-build.yml Build docker images used for releases and push them to the Docker Hub.
.github/workflows/release-pkg.yml Publish a release to PyPI and upload to the GH release page as artifact.
.github/workflows/_legacy-checkpoints.yml Add on request generate legacy checkpoints and upload them to AWS S3.

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 PyTorchs probot.
.github/workflows/probot-check-group.yml
.github/checkgroup.yml
Checks whether the relevant jobs were successfully run based on the changed files in the PR
.pre-commit-config.yaml It applies a set of linters and formatters and can be registered with your local dev. If needed bot pushc changes to each PRs.
.github/workflows/labeler-pr.yml, .github/label-change.yml Integration of https://github.com/actions/labeler
.github/workflows/labeler-issue.yml Parse user provided lightning version and set it as label.