Cool package for robust AI
Project description
Installation
Robbytorch
requires Pytorch, however it's not specified in the dependencies - we recommend installing Pytorch manually via conda and only later installing Robbytorch by pip. Pytorch has to be in version 1.6
or higher.
Use your conda env or create a new one:
conda create --name <ENV NAME> python=3.8 pip
conda activate <ENV NAME>
Install Pytorch. If you have older drivers for GPU you may require older version of CUDA, i.e.:
conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch -c conda-forge
or even older Pytorch version:
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.1 -c pytorch
Then run:
pip install robbytorch
Usage
The basics of the Robbytorch
library are explained in the self-contained ipython/RobbytorchTutorial.ipynb standalone juputer notebook.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
robbytorch-0.2.2.tar.gz
(27.9 kB
view hashes)
Built Distribution
robbytorch-0.2.2-py3-none-any.whl
(46.9 kB
view hashes)
Close
Hashes for robbytorch-0.2.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3852e150afeb421dccf85cf8d456e40a146501eec36e1759fcfe80b3c898cab8 |
|
MD5 | e06a61de091f7b747e5dd4fd5e1b407c |
|
BLAKE2b-256 | a009eaa0df3e3720468d3132278b38d450a6abb3c5977c454f6bf4ca1f807b4a |