Files
pytorch-lightning/.github/workflows
Adrian Wälchli 7708ce22b2 Update GitHub links to PL repo (#13849)
* update lightning links in docs

* update links in chlog

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Apply suggestions from code review

Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>

* Update src/pytorch_lightning/README.md

Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>

* Update src/pytorch_lightning/README.md

Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>

* update

* painful

* badges

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update badges

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
Co-authored-by: Jirka <jirka.borovec@seznam.cz>
Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>
2022-07-28 22:08:07 +02:00
..
2022-07-22 11:46:33 -04:00
2022-07-22 11:46:33 -04:00
2022-07-12 09:50:46 -04:00

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, 1.12) 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, 1.12) 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
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, 1.9) linux

Documentation

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

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/ci_dockers.yml Build docker images used for testing in CI without pushing to the Docker Hub. Publishing these built images takes place in .github/workflows/release-docker.yml which only runs in master.
.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 PyTorchs 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.