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.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., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repositories 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.
We encourage contributions such as bug fixes, DirectML kernels, or general performance and stability improvements. For more substantial changes, we ask that you reach out first with GitHub issues or by contacting us directly at [email protected]. This project's focus is currently on improving functional and performance parity with the official CUDA backend, so unrelated changes are less likely to be approved.
Before creating a pull request, make sure to format your change in accordance with TensorFlow's coding style (see below).
Changes to TensorFlow C++ code should conform to Google C++ Style Guide.
Use clang-tidy to check your C/C++ changes. To install clang-tidy on ubuntu:16.04, do:
apt-get install -y clang-tidyYou can check a C/C++ file by doing:
clang-format <my_cc_file> --style=google > /tmp/my_cc_file.cc
diff <my_cc_file> /tmp/my_cc_file.ccTo automatically format all files in the repository and make sure that they conform to the guidelines, run format.sh on Ubuntu or format.ps1 on Windows.
To add a new kernel, follow the steps outlined in the Kernel Cookbook