64 lines
8.4 KiB
Markdown
64 lines
8.4 KiB
Markdown
<!-- Note: This document cannot be in `.github/README.md` because it will overwrite the repo README.md -->
|
||
|
||
# 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](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. |
|
||
|
||
## Code Quality
|
||
|
||
| workflow file | action |
|
||
| --------------------------------- | ----------------------------------------------------------------------------------------- |
|
||
| .codecov.yml | Measure test coverage with [codecov.io](https://app.codecov.io/gh/Lightning-AI/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/cicd-pytorch-dockers.yml | Build docker images used for testing in CI. If run on nightly schedule, push to the [Docker Hub](https://hub.docker.com/r/pytorchlightning/pytorch_lightning). |
|
||
| .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. |
|
||
| .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 | 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. |
|