F41 Change Proposal: PyTorch 2.4 (self-contained)

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Wiki - https://fedoraproject.org/wiki/Changes/PyTorch2.4
Discussion Thread -
https://discussion.fedoraproject.org/t/f41-change-proposal-pytorch-2-4-self-contained/126069

This is a proposed Change for Fedora Linux.
This document represents a proposed Change. As part of the Changes
process, proposals are publicly announced in order to receive
community feedback. This proposal will only be implemented if approved
by the Fedora Engineering Steering Committee.

== Summary ==
PyTorch is a popular python library for deep learning using GPUs and
CPUs. It is frequently associated with various AI implementations and
other neural network based projects. This change will update PyTorch
to the latest upstream version (2.4).


== Owner ==

* Name: [[User:trix| Tom Rix]]

* Email: trix@xxxxxxxxxx


== Detailed Description ==

Update the base Fedora PyTorch from 2.2 to the latest upstream 2.4.
The big change for 2.4 is the integration with the ROCm stack to
provide open accelerated AI on AMD GPU's.

== Feedback ==


== Benefit to Fedora ==
Fedora AI is keeping pace with the fast moving AI by updating PyTorch
to match what is available *right now* in the upsteam with features
needed to do real AI development for open source.


== Scope ==
* Proposal owners: Update base to 2.4 when upstream releases.

* Other developers:

* Release engineering: N/A (not needed for this Change)

* Policies and guidelines: N/A (not needed for this Change)

* Trademark approval: N/A (not needed for this Change)

* Alignment with the Fedora Strategy: "Innovation & Leadership in
Technology: We integrate programming language stack ecosystems" by
including the latest release of PyTorch, Fedora will have the latest
release of a popular software stack in AI/ML.


== Upgrade/compatibility impact ==

There should be no backwards incompatible changes with the 2.4 release.


== Early Testing (Optional) ==

Do you require 'QA Blueprint' support? N

== How To Test ==
Testing can be done with CPU only but that may lead to very long test
times. Testing with ROCm compatible hardware is recommended.

Running through some of the PyTorch Examples is a good way for basic
testing of PyTorch. Running through the tests contained in other
torch-related packages (e.g python-torchvision) could also be helpful.


== User Experience ==


Users will be able to continue to use PyTorch installed from the
Fedora repos - the upgrades to llvm require a newer ROCm and that
newer ROCm is only supported by the latest PyTorch release.

Other than being able to continue to use PyTorch from the Fedora
repos, the user-noticeable changes will be minimal.

== Dependencies ==

There are no RPMs affected by this change that are not included in the change.

== Contingency Plan ==
Fedora currently ships with the latest public 2.3 release with all of
the accelerated features.

* Contingency mechanism: (What to do?  Who will do it?) N/A (not a
System Wide Change)
* Contingency deadline: N/A (not a System Wide Change)
* Blocks release? No, not a System Wide Change.


== Documentation ==
N/A (not a System Wide Change)

== Release Notes ==

-- 
Aoife Moloney

Fedora Operations Architect

Fedora Project

Matrix: @amoloney:fedora.im

IRC: amoloney

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