deepspeedai / deepspeedai/DeepSpeed

[BUG] how to achieve hybrid data and pipeline parallelism?

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Dominant language
Python
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Description

I have carefully read the tutorial(https://www.deepspeed.ai/tutorials/pipeline), but I’m still unclear about how to achieve hybrid data and pipeline parallelism. Is there an example available?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the pipeline tutorial linked in the issue and compare its documented setup with the requested hybrid data and pipeline parallelism. Clarify the intended configuration and define what a runnable example must demonstrate; done would be an agreed, usable example or documentation addition.

Written by the indexing model from the issue text.

Assessment

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

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