fairscale

FairScale: A PyTorch library for large-scale and high-performance training.

These details have not been verified by PyPI

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library extends basic PyTorch capabilities while adding new experimental ones.

Project details

These details have not been verified by PyPI

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.4.13

Dec 11, 2022

0.4.12

Oct 5, 2022

0.4.11

Sep 30, 2022

0.4.10

Sep 23, 2022

0.4.9

Sep 7, 2022

0.4.8

Jul 26, 2022

0.4.7

Jul 26, 2022

0.4.6

Mar 9, 2022

0.4.5

Jan 14, 2022

0.4.4

Dec 21, 2021

0.4.3

Nov 18, 2021

0.4.2

Nov 8, 2021

0.4.1

Oct 8, 2021

0.4.0

Aug 1, 2021

0.3.9

Jul 27, 2021

0.3.8

Jul 12, 2021

0.3.7

May 18, 2021

0.3.6

Apr 26, 2021

0.3.5

Apr 19, 2021

0.3.4

Apr 13, 2021

0.3.3

Apr 2, 2021

0.3.2

Mar 18, 2021

0.3.1

Mar 9, 2021

0.3.0

Feb 23, 2021

0.1.7

Feb 19, 2021

0.1.6

Feb 11, 2021

0.1.5

Feb 3, 2021

0.1.4

Jan 7, 2021

0.1.3

Jan 5, 2021

0.1.1

Dec 2, 2020

0.1.0

Dec 1, 2020

0.0.3

Oct 15, 2020

0.0.2

Aug 28, 2020

0.0.1

Jul 31, 2020

0.0.0 yanked

Jul 31, 2020

Reason this release was yanked:

Broken release.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fairscale-0.4.13.tar.gz (266.3 kB view hashes)

Uploaded Dec 11, 2022 Source

Hashes for fairscale-0.4.13.tar.gz

Hashes for fairscale-0.4.13.tar.gz
Algorithm	Hash digest
SHA256	`1b797825c427f5dba92253fd0d8daa574e8bd651a2423497775fab1b30cfb768`
MD5	`e910e36e64006d3a741a6d261f4c505b`
BLAKE2b-256	`c108b3334d7b543ac10dcb129cef4f84723ab696725512f18d69ab3a784b0bf5`