|
4 | 4 |
|
5 | 5 | ## Unit and Integration Testing |
6 | 6 |
|
7 | | -| workflow name | workflow file | action | accelerator\* | (Python, PyTorch) | OS | |
8 | | -| -------------------------- | ----------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- | ------------------------------------------------ | ------------------- | |
9 | | -| 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 | |
10 | | -| 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 | |
11 | | -| 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 | |
12 | | -| pytorch-lightning (IPUs) | .azure-pipelines/ipu-tests.yml | Run only IPU-specific tests. | IPU | (3.8, 1.9) | linux | |
13 | | -| pytorch-lightning (HPUs) | .azure-pipelines/hpu-tests.yml | Run only HPU-specific tests. | HPU | (3.8, 1.10) | linux | |
14 | | -| 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 | |
15 | | -| PyTorchLightning.Benchmark | .azure-pipelines/gpu-benchmark.yml | Run speed/memory benchmarks for parity with pure PyTorch. | GPU | (3.9, 1.12) | linux | |
16 | | -| test-on-tpus | .circleci/config.yml | Run only TPU-specific tests. | TPU | (3.7, 1.9) | linux | |
| 7 | +| workflow name | workflow file | action | accelerator\* | (Python, PyTorch) | OS | |
| 8 | +| -------------------------- | ------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- | ------------------------------------------------ | ------------------- | |
| 9 | +| Test PyTorch full | .github/workflows/ci-pytorch-test-full.yml | Run all tests except for accelerator-specific, standalone and slow tests. | CPU | (3.7, 1.8), (3.7, 1.11), (3.9, 1.8), (3.9, 1.12) | linux, mac, windows | |
| 10 | +| 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, 1.8), (3.8, 1.9), (3.8, 1.10), (3.9, 1.12) | linux | |
| 11 | +| 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, 1.8) | linux, mac, windows | |
| 12 | +| pytorch-lightning (IPUs) | .azure-pipelines/ipu-tests.yml | Run only IPU-specific tests. | IPU | (3.8, 1.9) | linux | |
| 13 | +| pytorch-lightning (HPUs) | .azure-pipelines/hpu-tests.yml | Run only HPU-specific tests. | HPU | (3.8, 1.10) | linux | |
| 14 | +| 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 | |
| 15 | +| PyTorchLightning.Benchmark | .azure-pipelines/gpu-benchmark.yml | Run speed/memory benchmarks for parity with pure PyTorch. | GPU | (3.9, 1.12) | linux | |
| 16 | +| test-on-tpus | .circleci/config.yml | Run only TPU-specific tests. | TPU | (3.7, 1.9) | linux | |
17 | 17 |
|
18 | 18 | - \*Accelerators used in CI |
19 | 19 | - GPU: 2 x NVIDIA Tesla V100 |
|
33 | 33 | | --------------------------------- | ----------------------------------------------------------------------------------------- | |
34 | 34 | | .codecov.yml | Measure test coverage with [codecov.io](https://app.codecov.io/gh/Lightning-AI/lightning) | |
35 | 35 | | .github/workflows/code-checks.yml | Check Python typing with [MyPy](https://mypy.readthedocs.io/en/stable/). | |
36 | | -| .github/workflows/ci_schema.yml | Validate the syntax of workflow files. | |
| 36 | +| .github/workflows/ci-schema.yml | Validate the syntax of workflow files. | |
37 | 37 |
|
38 | 38 | ## Others |
39 | 39 |
|
40 | | -| workflow file | action | |
41 | | -| -------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
42 | | -| .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/workflows/release-docker.yml` which only runs in master. | |
43 | | -| .github/workflows/ci_pkg-install.yml | Test if pytorch-lightning is successfully installed using pip. | |
44 | | -| .github/workflows/events-recurrent.yml | Terminate TPU jobs that live more than one hour to avoid possible resource exhaustion due to hangs. | |
| 40 | +| workflow file | action | |
| 41 | +| ------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
| 42 | +| .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). | |
| 43 | +| .github/workflows/ci-pkg-install.yml | Test if pytorch-lightning is successfully installed using pip. | |
| 44 | +| .github/workflows/events-recurrent.yml | Terminate TPU jobs that live more than one hour to avoid possible resource exhaustion due to hangs. | |
45 | 45 |
|
46 | 46 | ## Deployment |
47 | 47 |
|
|
60 | 60 | | .github/stale.yml | Close inactive issues/PRs sometimes after adding the "won't fix" label to them. | |
61 | 61 | | .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. | |
62 | 62 | | .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. | |
63 | | -| .github/workflows/ci_pr-gatekeeper.yml | Prevent PRs from merging into master without any Grid.ai employees’ approval. | |
| 63 | +| .github/workflows/ci-pr-gatekeeper.yml | Prevent PRs from merging into master without any Grid.ai employees’ approval. | |
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