facebookresearch/metaseq

Remove Megatron dependency - move entirely to Fairscale

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#616 opened on Jan 24, 2023

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 (1 comment) (0 reactions) (1 assignee)Python (6,195 stars) (701 forks)batch import
better-enggood first issue

Description

This is to look into whether or not we can remove our Megatron dependency and rely entirely on our Fairscale dependency (model parallelism implementation seems to be identical between the two).

Contributor guide

Tech stack
pythonpytorch
Domain
machine learning
Issue type
refactor
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.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
Understanding of model parallelismPyTorch experience
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
15
Research direction
Examine the model parallelism implementations in both Megatron and Fairscale within the repository. Compare the functionality and ensure that Fairscale's implementation covers all use cases currently provided by Megatron. Check any tests to verify identical behavior. Discuss with maintainers if any gaps exist.