Add oneCCL backend for idist

Description

Contributor guide

Tech stack

pythonpytorch

Domain

backendmachine learning

Issue type

feature

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

3

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

over 1 week

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

stale

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

mostly clear

Prerequisites

PythonPyTorchDistributed training basicsoneCCL knowledge

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

20

Research direction

The issue requests adding a oneCCL backend by extending the torch native distributed model in `ignite/distributed/comp models/native.py`. Investigate the current implementation and the references to Intel's torch ccl and PyTorch with oneCCL backend. The maintainers have not yet provided implementation guidance, so a contributor should start by understanding the architecture of the existing comp models and how to integrate a new backend similar to the NCCL or Gloo backends. Check the linked references for details on oneCCL integration with PyTorch.