Contributing guidelines

Contributing to Intel® Extension for TensorFlow*

We welcome community contributions to Intel® Extension for TensorFlow*. Before you begin writing code, it is important that you share your intention to contribute with the team, based on the type of contribution:

  1. You want to submit a bug or propose a new feature.

    • Log a bug or feedback with an issue.

    • Post about your intended feature in an issue for design and implementation approval.

  2. You want to implement a bug-fix or feature for an issue.

    • Search for your issue in the issue list.

    • Pick an issue and comment that you’d like to work on the bug-fix or feature.

  • For bug-fix, please submit a Pull Request to project github.

    Ensure that you can build the product and run all the examples with your patch. Submit a pull request.

  • For feature or significant changes require approval from Intel® Extension for TensorFlow* maintainers before opening a pull request with such implementation. For that we use the Request For Comments (RFC) process, which consists of opening, discussing, and accepting (promoting) RFC pull requests.

    More information about the process can be found in the dedicatedrfcs branch.

See also: Contributor Covenant code of conduct.

Developing Intel® Extension for TensorFlow*

Refer to a full set of instructions on installing Intel® Extension for TensorFlow* from source.

Tips and Debugging

Unit testing

Intel® Extension for TensorFlow* provides python unit tests.

Python Unit Testing

  • Python unit tests are located at intel-extension-for-tensorflow/test

test/
├── benchmark       # Benchmark unit tests
├── examples        # Unit test examples
├── llga            # LLGA unit tests
├── python          # Python API unit tests
├── sanity          # Sanity unit tests
└── tensorflow      # TensorFlow migrated unit tests

  • Running single unit test:

python <path_to_python_unit_test>

  • Running all the unit tests:

cd intel-extension-for-tensorflow
for ut in $(find test -name "*.py"); do
    python $ut
done

Code style guide

Intel® Extension for TensorFlow* follows the same code style guide as TensorFlow code style guide for Python and C++ code.

Python coding style

Ensure the Python code changes are consistent with the Python coding standards.

Use pylint to check your Python changes. To install pylint and check a file with pylint against custom style definition from the Intel® Extension for TensorFlow* source code root directory:

pip install pylint

pylint --rcfile=intel-extension-for-tensorflow/.pylintrc myfile.py

C++ coding style

The C++ code should conform to the Google C++ Style Guide. Intel® Extension for TensorFlow* use both clang-format and cpplint to check C++ code style.

To install clang-format and check a file with clang-format against custom style definition from the Intel® Extension for TensorFlow* source code root directory:

apt-get install clang-format-12

# The -i option makes it inplace, by default formatted output is written to stdout
clang-format-12 -i -style=file <file>

To install cpplint and check a file with cpplint from the Intel® Extension for TensorFlow* source code root directory:

pip install cpplint

cpplint --filter=-legal/copyright --exclude=./third_party --recursive ./

Sometimes cpplint may report false positive errors. You can comment code with // NOLINT or // NOLINTNEXTLINE to skip the line for check:

#include "mkl.h" // NOLINT(build/include_subdir)

// NOLINTNEXTLINE
#include "mkl.h"

bazel style guide

buildifier is a tool for formatting bazel BUILD and .bzl files with a standard convention (xxx.tpl files are not supported).

To check bazel files manually:

# install go
wget https://golang.org/dl/go1.15.3.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.15.3.linux-amd64.tar.gz
export PATH=$PATH:/usr/local/go/bin

# install buildifier
go get github.com/bazelbuild/buildtools/buildifier
cd ~/go/src/github.com/bazelbuild/buildtools/buildifier
go install
export PATH=$PATH:/home/$USER/go/bin

# check style. DO NOT use buildifier -r dir/, it will skip files like xxx.BUILD
buildifier BUILD # or zzz.BUILD or xxx.bzl

Documentation style guide

Intel® Extension for TensorFlow* follows the same documentation style guide as TensorFlow documentation style guide.