python3.8-scikit-cuda-0.5.3

scikit-cuda for Python 3.8 running on the Nvidia Jetson Tegra.

How to use

If you have pip (which should be run in a suitable virtual environment) the following should work.

pip install 'https://github.com/jetson-nano-wheels/python3.8-scikit-cuda-0.5.3/releases/download/v0.0.1/scikit_cuda-0.5.3-py2.py3-none-any.whl'

How to contribute

1. Fork this repo
2. Add a branch for your new feature.
3. Run the init.sh script.

Like this:

git clone git@github.com:jetson-nano-wheels/python3.8-scikit-cuda-0.5.3
cd python3.8-scikit-cuda-0.5.3
git checkout -b feature-my-fancy-addition
./init.sh

After that, do your edits, commit and push to your repo, and send a pull-request if you like 😃