This is a library that uses pytorch as a back-end for complex valued neural networks.
It was initially developed by Victor Dhédin and Jérémie Levi during their third year project at CentraleSupélec.
To install the library, it is simple as :
python -m pip install torchcvnn
To install when developping the library, within a virtual envrionment, you can :
git clone git@github.com:jeremyfix/torchcvnn.git
python3 -m venv torchcvnn-venv
source torchcvnn-venv/bin/activate
python -m pip install -e torchcvnn
This will install torchcvnn in developper mode.
To trigger the pipeline for a new release, you have to tag a commit and to push it on the main branch
[main] git tag x.x.x
[main] git push --tags
This will trigger the ci-cd.yml pipeline which builds the distribution,
release it on github and on pypi.
Any commit that is not explicitely tagged with a version number does not trigger the release ci-cd pipeline.
You might also be interested in some other projects:
Tensorflow based :
- cvnn developed by colleagues from CentraleSupélec
Pytorch based :