python-fairscale on AUR (Arch User Repository)

Last updated: November 24,2024

1. Install "python-fairscale" effortlessly via AUR with the help of a helper(YAY)

a. Install YAY (https://github.com/Jguer/yay)

$ sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si

b. Install python-fairscale on Arch using YAY

$ yay -S python-fairscale

* (Optional) Uninstall python-fairscale on Arch using YAY

$ yay -Rns python-fairscale

2. Manually Install "python-fairscale" via AUR

a. Ensure you have the base development tools and git installed with:

$ sudo pacman -S --needed base-devel git

b. Clone python-fairscale's git locally

$ git clone https://aur.archlinux.org/python-fairscale.git ~/python-fairscale

c. Go to ~/python-fairscale folder and install it

$ cd ~/python-fairscale $ makepkg -si

3. Information about the python-fairscale package on Arch User Repository (AUR)

ID: 1312946
Name: python-fairscale
PackageBaseID: 186792
PackageBase: python-fairscale
Version: 0.4.13-1
Description: PyTorch extensions for high performance and large scale training.
URL: https://github.com/facebookresearch/fairscale
NumVotes: 0
Popularity: 0
OutOfDate:
Maintainer: maksverver
Submitter: huyz
FirstSubmitted: 1666359600
LastModified: 1693688009
URLPath: /cgit/aur.git/snapshot/python-fairscale.tar.gz