Online documentation

Please refer to the online documentation for installation steps, user guides and APIs.

Building the documentation

Documentation is based on Sphinx and can be generated locally from the repository top.

Requirements:

• Python version: python 3.7 to 3.8
• Tensorflow version >= 2.10.x
• Sphinx version 2.1 or above

Build steps

• Optional: create a virtual environment using Virtualenv or Conda

• Install akida packages and their requirements using the provided file:

pip install -r requirements.txt

• Install Sphinx additional modules used by the documentation:

pip install sphinx_rtd_theme
pip install sphinx-gallery
pip install autodocsumm

• Finally build using sphinx-build tool, refer to Sphinx tutorial for details on this command line:

sphinx-build -D plot_gallery=0 -b html ./doc ./build

Note that by removing the -D plot_gallery=0 option in the previous command, examples will be executed for a nicer rendering but it will take much more time.

• Open .build/index.html once done

Style check

Style check is based on flake8.

To align examples with python formatting rules:

autopep8 --ignore E402,E501 --in-place --recursive examples/