lucidrains / lucidrains/vector-quantize-pytorch
How to gather cluster_size and embed_sum when use DataParallel (DP)
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- Dominant language
- Python
- Stars
- 4k
- Forks
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Description
I notice the code can gather data for EMA in DDP, but I filed it when I use DP, because distributed.all_reduce need distributed.init_process_group firstly. How to gather data in DP
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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 tracing how EMA gathers cluster_size and embed_sum under DDP, then compare that path with the DataParallel usage described in the issue. Determine what DataParallel can use without distributed.init_process_group, and verify the behavior with an appropriate DP example or test; the issue names no file or existing test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100