deepspeedai / deepspeedai/DeepSpeed

[REQUEST] implementing interleaved 1F1B in pipeline parallelism

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enhancement
Dominant language
Python
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Description

Deepspeed doesn't have interleaved 1F1B implementation, and I haven't found anyone elsewhere using Deepspeed to implement this. So I wonder whether it is possible to implement interleaved 1F1B without too many modifications.

It seems difficult to implement interleaved 1F1B in deepspeed because of some reasons:

  • each device needs to store two different copies of stage parameters (if num_stages=num_gpus*2)
  • it has to be specified which copy of the parameters is executed when performing forward propagation or back propagation on each device

I see Megatron using model_chunk to specify stage parameters when executing forward propagation. Here is code.

However, deepspeed doesn't have this design code

Can anyone help or give any suggestion?

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Research direction

Start by comparing DeepSpeed's stage execution in deepspeed/runtime/engine.py around line 1709 with Megatron-LM's interleaved schedule in schedules.py around line 547. Determine how multiple model copies and their forward/backward selection would fit the existing pipeline design; done would require a reviewed implementation of interleaved 1F1B, with validation of the affected schedule.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
distributed-systems, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
18/100

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