Please refer to the online documentation for installation steps, user guides and APIs.
Documentation is based on Sphinx and can be generated locally from the repository top.
- Python version: python >= 3.8
- TensorFlow version >= 2.10
- Sphinx version 2.1 or above
-
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 sphinx-gallery autodocsumm sphinx_design
- 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. If needed (e.g. for debugging), a set of selected examples can be rendered through the command:
sphinx-build -b html ./doc ./build -D sphinx_gallery_conf.filename_pattern=regex_my_examples.py
- Open .build/index.html once done
Style check is based on flake8.
To align examples with python formatting rules:
autopep8 --ignore E402,E501 --in-place --recursive examples/
Versions are akida/cnn2snn packages ones. Please refer to https://github.com/Brainchip-Inc/akida_examples/releases for more details.
sequenceDiagram
participant [...]
participant 2.2.5
participant 2.3.7
participant 2.4.0
participant Today
rect rgb(171, 170, 166)
[...]-->>2.2.5: TensorFlow 2.8
2.2.5->>Today: TensorFlow 2.10
2.4.0->>+Today: TensorFlow 2.11/2.12
end
rect rgb(250, 229, 160)
[...]-->>+2.4.0: Python 3.7 (EOL June 2023)
[...]->>+Today: Python 3.8, 3.9, 3.10
2.4.0->>+Today: Python 3.11
end
rect rgb(171, 170, 166)
[...]-->>+2.4.0: Ubuntu 18.04 (EOL April 2023)
[...]->>+Today: Ubuntu 20.04, 22.04
end