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https://github.com/jetson-nano-wheels/python3.7-numpy-1.20.3
https://github.com/jetson-nano-wheels/python3.7-numpy-1.20.3
cortex-a57 gpu jetson jetson-nano jetson-tx2 machine-learning numpy nvidia python python37 tegra210 wheels
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/jetson-nano-wheels/python3.7-numpy-1.20.3
- Owner: jetson-nano-wheels
- License: gpl-3.0
- Created: 2021-08-23T13:30:04.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-08-24T08:26:32.000Z (about 3 years ago)
- Last Synced: 2024-05-03T06:23:07.886Z (6 months ago)
- Topics: cortex-a57, gpu, jetson, jetson-nano, jetson-tx2, machine-learning, numpy, nvidia, python, python37, tegra210, wheels
- Language: Shell
- Size: 16.6 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# python3.7-numpy-1.20.3
Numpy 1.20.3 for Python 3.7 running on the Nvidia Jetson Tegra.
## How to use
If you have `pip` (which should be run in a suitable virtual environment) this should work:
```sh
pip install 'https://github.com/jetson-nano-wheels/python3.7-numpy-1.20.3/releases/download/v0.0.1/numpy-1.20.3-cp36-cp36m-linux_aarch64.whl'
```
## How to contribute
1. [Fork this repo](https://github.com/jetson-nano-wheels/python3.7-numpy-1.20.3/fork)
2. Add a branch for your new feature.
3. Run the `init.sh` script.
Like this:
```sh
git clone [email protected]:jetson-nano-wheels/python3.7-numpy-1.20.3
cd python3.7-numpy-1.20.3
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 😃