Skip to main content

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


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 details)

Uploaded Source

Built Distribution

robbytorch-0.2.2-py3-none-any.whl (46.9 kB view details)

Uploaded Python 3

File details

Details for the file robbytorch-0.2.2.tar.gz.

File metadata

  • Download URL: robbytorch-0.2.2.tar.gz
  • Upload date:
  • Size: 27.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.5.0.1 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for robbytorch-0.2.2.tar.gz
Algorithm Hash digest
SHA256 4e22717981aa510e06d04f467698dc8ee6f1540bb8b8c363bb8ff03779994c09
MD5 3b67bf7945f0e3fb5d26f8243c1ea244
BLAKE2b-256 a4dd8a20d8f943a5c6035c3c85b44de492292463ff430263d8a6227449871f6e

See more details on using hashes here.

File details

Details for the file robbytorch-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: robbytorch-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 46.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.5.0.1 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3

File hashes

Hashes for robbytorch-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3852e150afeb421dccf85cf8d456e40a146501eec36e1759fcfe80b3c898cab8
MD5 e06a61de091f7b747e5dd4fd5e1b407c
BLAKE2b-256 a009eaa0df3e3720468d3132278b38d450a6abb3c5977c454f6bf4ca1f807b4a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page