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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/.

Unit Tests

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.

Model Tests

Model tests require four GPUs and training data downloaded for DeepSpeedExamples.

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/

Note that the --forked flag is not necessary for the model tests.

Contributor License Agreement

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

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.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact with any additional questions or comments.