Automation makes our development more efficient as the machine automatically run the pre-defined tasks for the contributors. This saves a lot of manual work and allow the developer to fully focus on the features and bug fixes. In Colossal-AI, we use GitHub Actions to automate a wide range of workflows to ensure the robustness of the software. In the section below, we will dive into the details of different workflows available.
Workflow Name | File name | Description |
---|---|---|
Build |
build.yml |
This workflow is triggered when the label Run build and Test is assigned to a PR. It will run all the unit tests in the repository with 4 GPUs. |
Pre-commit |
pre_commit.yml |
This workflow runs pre-commit checks for code style consistency. |
Report pre-commit failure |
report_precommit_failure.yml |
This PR will put up a comment in the PR to explain the precommit failure and remedy. This is executed when Pre-commit is done |
Report test coverage |
report_test_coverage.yml |
This PR will put up a comment to report the test coverage results. This is executed when Build is completed. |
Test example |
auto_example_check.yml |
The example will be automatically tested if its files are changed in the PR |
Workflow Name | File name | Description |
---|---|---|
Test example |
auto_example_check.yml |
This workflow will test all examples every Sunday |
Compatibility Test |
auto_compatibility_test.yml |
This workflow will check the compatiblity of Colossal-AI against PyTorch and CUDA every Sunday. The PyTorch and CUDA versions are specified in .compatibility . |
Build on 8 GPUs |
build_gpu_8.yml |
This workflow will run the unit tests everyday with 8 GPUs. |
Synchronize submodule |
submodule.yml |
This workflow will check if any git submodule is updated. If so, it will create a PR to update the submodule pointers. |
Close inactive issues |
close_inactive.yml |
This workflow will close issues which are stale for 14 days. |
Workflow Name | File name | Description |
---|---|---|
Draft GitHub Release Post |
draft_github_release_post.yml |
Compose a GitHub release post draft based on the commit history. Triggered when the change of version.txt is merged. |
Release to PyPI |
release_pypi.yml |
Build and release the wheel to PyPI. Triggered when the change of version.txt is merged. |
Release Nightly to PyPI |
release_nightly.yml |
Build and release the nightly wheel to PyPI as colossalai-nightly . Automatically executed every Sunday. |
Release Docker |
release_docker.yml |
Build and release the Docker image to DockerHub. Triggered when the change of version.txt is merged. |
Release bdist wheel |
release_bdist.yml |
Build binary wheels with pre-built PyTorch extensions. Manually dispatched. See more details in the next section. |
Auto Release bdist wheel |
auto_release_bdist.yml |
Build binary wheels with pre-built PyTorch extensions.Triggered when the change of version.txt is merged. Build specificatons are stored in .bdist.json |
Auto Compatibility Test |
auto_compatibility_test.yml |
Check Colossal-AI's compatiblity against the PyTorch and CUDA version specified in .compatibility . Triggered when version.txt is changed in a PR. |
Workflow Name | File name | Description |
---|---|---|
Release bdist wheel |
release_bdist.yml |
Build binary wheels with pre-built PyTorch extensions. |
Dispatch Example Test |
dispatch_example_check.yml |
Manually test a specified example. |
Dispatch Compatiblity Test |
dispatch_compatiblity_test.yml |
Test PyTorch and Python Compatibility. |
Refer to this documentation on how to manually trigger a workflow. I will provide the details of each workflow below.
Parameters:
torch version
:torch version to test against, multiple versions are supported but must be separated by comma. The default is value is all, which will test all available torch versions listed in this repository which is regularly updated.cuda version
: cuda versions to test against, multiple versions are supported but must be separated by comma. The CUDA versions must be present in our DockerHub repository.ref
: input the branch or tag name to build the wheel for this ref.
parameters:
example_directory
: the example directory to test. Multiple directories are supported and must be separated by comma. For example, language/gpt, images/vit. Simply input language or simply gpt does not work.
Parameters:
torch version
:torch version to test against, multiple versions are supported but must be separated by comma. The default is value is all, which will test all available torch versions listed in this repository.cuda version
: cuda versions to test against, multiple versions are supported but must be separated by comma. The CUDA versions must be present in our DockerHub repository.
It only test the compatiblity of the main branch
Workflow Name | File name | Description |
---|---|---|
issue-translate |
translate_comment.yml |
This workflow is triggered when a new issue comment is created. The comment will be translated into English if not written in English. |
This section lists the files used to configure the workflow.
.compatibility
This .compatibility
file is to tell GitHub Actions which PyTorch and CUDA versions to test against. Each line in the file is in the format ${torch-version}-${cuda-version}
, which is a tag for Docker image. Thus, this tag must be present in the docker registry so as to perform the test.
.bdist.json
This file controls what pytorch/cuda compatible pre-built releases will be built and published. You can add a new entry according to the json schema below if there is a new wheel that needs to be built with AOT compilation of PyTorch extensions.
{
"build": [
{
"torch_version": "",
"cuda_image": ""
},
]
}
- unit testing
- test on PR
- report test coverage
- regular test
- release
- official release
- nightly build
- binary build
- docker build
- draft release post
- pre-commit
- check on PR
- report failure
- example check
- check on PR
- regular check
- manual dispatch
- compatiblity check
- manual dispatch
- auto test when release
- helpers
- comment translation
- submodule update
- close inactive issue