DeepSpeed welcomes your contributions!
DeepSpeed uses pre-commit to ensure that formatting is
consistent across DeepSpeed. First, ensure that pre-commit
is installed from either
installing DeepSpeed or pip install pre-commit
. Next, the pre-commit hooks must be
installed once before commits can be made:
pre-commit install
Afterwards, our suite of formatting tests run automatically before each git commit
. You
can also run these manually:
pre-commit run --all-files
If a formatting test fails, it will fix the modified code in place and abort
the git commit
. After looking over the changes, you can git add <modified files>
and then repeat the previous git commit
command.
DeepSpeed tracks two types of tests: unit tests and more costly model convergence tests.
The model convergence tests train
DeepSpeedExamples and measure
end-to-end convergence and related metrics. Unit tests are found in tests/unit/
and
the model convergence tests are found in tests/model/
.
PyTest is used to execute tests. PyTest can be
installed from PyPI via pip install pytest
. Simply invoke pytest --forked
to run the
unit tests:
pytest --forked tests/unit/
You can also provide the -v
flag to pytest
to see additional information about the
tests. Note that pytest-forked and the
--forked
flag are required to test CUDA functionality in distributed tests.
To execute model tests, first install DeepSpeed. The DeepSpeedExamples repository is cloned as part of this process. Next, execute the model test driver:
cd tests/model/
pytest run_sanity_check.py
Note that the --forked
flag is not necessary for the model tests.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.