deepspeedai / deepspeedai/DeepSpeed
[REQUEST] Mixture of Experts (MoE) Segmentation Task
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- Dominant language
- Python
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Description
Feature relates to MoE End-to-End inference
i would to know if MoE used in DeepSpeed can implement in the Segmentation task
Describe the solution
i was working on the MoE problem I read the paper on DeepSpeed-MoE i read the documentation and I found only work on the MLP Linear Gate Network,
Feature
make MoE in DeepSpeed support Sgemnatattion
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the DeepSpeed-MoE documentation and the existing MLP Linear Gate Network support mentioned in the issue. Determine the requirements and integration points for using MoE in a segmentation task and for end-to-end inference. Done should mean that segmentation is supported and documented with a working inference path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 18/100