jetson-nano-wheels / python3.6-pycuda-2021.1

python3.6-pycuda-2021.1

PyCUDA 2021.1 for Python 3.6 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. Note you will need to install Numpy and pyopencl as shown here.

pip install 'https://github.com/jetson-nano-wheels/python3.6-numpy-1.19.4/releases/download/v0.0.1/numpy-1.19.4-cp36-cp36m-linux_aarch64.whl'
pip install 'https://github.com/jetson-nano-wheels/python3.6-pyopencl-2021.2.6/releases/download/v0.0.1/pyopencl-2021.2.6-cp36-cp36m-linux_aarch64.whl'
pip install 'https://github.com/jetson-nano-wheels/python3.6-pycuda-2021.1/releases/download/v0.0.1/pycuda-2021.1-cp36-cp36m-linux_aarch64.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 [e-mail]:jetson-nano-wheels/python3.6-pycuda-2021.1
cd python3.6-pycuda-2021.1
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 😃