deepspeedai / deepspeedai/DeepSpeed

[REQUEST] High CPU memory usage at initialization

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enhancement
Dominant language
Python
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Forks
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Avg merge
4d 15h
Merged PRs (30d)
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Description

Is your feature request related to a problem? Please describe.

When I initiate a model on 4 GPUs with the DeepSpeed stage3, the CPU memory usage is very high. For instance, a model with 3B parameters takes 70GB of memory at its peak.
Because our server has a relatively small CPU memory size, there will be a lot of memory swapping when trying to initiate an even larger model. The initialization becomes unbearable slow and eventually exceeds the 30min timeout limit. RuntimeError: Timed out initializing process group in store based barrier on rank: 0, for key: store_based_barrier_key:1 (world_size=4, worker_count=1, timeout=0:30:00)

Describe the solution you'd like

I noticed there is a PR by @stas00 to address this issue. Do you plan to merge this PR soon?
https://github.com/bigscience-workshop/Megatron-DeepSpeed/pull/248

Describe alternatives you've considered
I could beg my advisor to buy larger memory chips, but I would prefer a software solution to the hardware solution.

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Research direction

The issue concerns DeepSpeed ZeRO stage 3 initialization and references PR #248; start by reviewing that pull request and the stage 3 initialization path. Done means reducing peak CPU memory during initialization enough to avoid swapping and the reported 30-minute process-group timeout.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
distributed-systems, machine-learning, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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