Skip to content

Pytorch whl build for Nvidia Kepler GPUs. Currently support newer Kepler GPUs (cuda compute capability 3.5 and 3.7) on Linux.

License

Notifications You must be signed in to change notification settings

xiaoran007/Pytorch-for-Kepler

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Pytorch-for-Kepler

Pytorch wheel package built for Nvidia Kepler GPUs. Currently supports newer Kepler GPUs (cuda compute capability 3.5 and 3.7) on Linux.

How to use

to use this pre-build package, simply download whl file from the release, and install it using pip:

python -m pip install ./torch-2.1.0a0+git7bcf7da-cp39-cp39-linux_x86_64.whl # change whl package name to real file name.

OS Support

This pre-build package only supports Linux (only tested on Ubuntu). The supported architecture is amd64. If you want to use Kepler GPU on arm64 or other architecture, please follow this guide to build pytorch from source.

GPU Support

This pre-build package only supports CUDA cc3.5 and cc3.7. The Kepler architecture is already 13 years, and considering the practical performance, only the top-line chips are still usable today. Here is a brief description of these chips.

Support Matrix

Chip Name CUDA CC Product Name
GK 110 3.5 GTX 780, GTX TITAN, Tesla K20
GK 110B 3.5 GTX 780Ti, GTX TITAN BLACK, GTX TITAN Z, Tesla K40, Quadro 5200, Quadro 6000
GK 180 3.5 Tesla K40c
GK 210 3.7 Tesla K80

About

Pytorch whl build for Nvidia Kepler GPUs. Currently support newer Kepler GPUs (cuda compute capability 3.5 and 3.7) on Linux.

Resources

License

Stars

Watchers

Forks

Packages

No packages published