F40 Change Proposal: Pytorch Release (Self-Contained)

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Wiki -> https://fedoraproject.org/wiki/Changes/PytorchRelese


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 ==
This change will bring the first iteration of PyTorch to Fedora.


== Owner ==

This project is owned by the https://fedoraproject.org/wiki/SIGs/PyTorch.
* Name: [[User:trix| Tom Rix]]
* Email: trix@xxxxxxxxxx


== Detailed Description ==

The goal of packaging PyTorch for Fedora is to make this open-source
machine learning framework easily accessible and seamlessly integrable
within the Fedora Linux ecosystem. By providing PyTorch as a packaged
software in the Fedora repositories, users gain simplified
installation and maintenance processes. This enhances the
accessibility of PyTorch for Fedora users, fostering a conducive
environment for developers, researchers, and enthusiasts to leverage
the capabilities of this powerful machine learning framework.
Additionally, packaging PyTorch for Fedora contributes to the broader
open-source community by promoting collaborative development and
innovation in the field of machine learning on the Fedora platform.

== Feedback ==

The PyTorch SIG meets bi weekly, contributing to the meeting is the
best way to engage with what is happening.  TBD: Add how to join.
The feedback so far has been positive with some high level feature
requests.
GPU Acceleration
More packages that use PyTorch
Improving base PyTorch



== Benefit to Fedora ==

This change will introduce PyTorch, a high demand machine learning
framework, to Fedora. PyTorch is widely used for tasks such as image
and speech recognition, natural language processing, and other
artificial intelligence applications, providing a user-friendly
interface for building and experimenting with complex machine learning
models. This is for CPU (x86_64 and aarch64) only and is the first
release for Fedora. The current development effort is focused on AMD
GPU acceleration.


== Scope ==
* Proposal owners:
This change does not affect other parts of the distribution and is an
isolated change.


* Other developers:
To install use
> dnf install python-torch


* 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 Community Initiatives: Yes


== Upgrade/compatibility impact ==

This is the first time this package has been available.


== How To Test ==

The PyTorch code base is very large, start with the public examples
described here
https://pytorch.org/tutorials/beginner/pytorch_with_examples.html



== User Experience ==

How the user installs PyTorch changes from
> pip install torch
To
> dnf install python-torch

The pip install requires local building which may fail and will not be
consistent from machine to machine.  Dnf will always succeed and be
consistent.



== Dependencies ==

PyTorch is available for Rawhide.


== Contingency Plan ==

* Contingency mechanism: PyTorch is available for Rawhide.

* Contingency deadline: N/A (not a System Wide Change)

* Blocks release? N/A (not a System Wide Change)


== Documentation ==
There is a wealth of online and print documentation available.  A good
place to start is the main project page https://pytorch.org/

== Release Notes ==
PyTorch 2.1.2 and some supporting packages are available in F40


-- 
Aoife Moloney

Fedora Operations Architect

Fedora Project

Matrix: @amoloney:fedora.im

IRC: amoloney
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