liuruijin17 / liuruijin17/CLGo
Multiple GPU training
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- Dominant language
- Python
- Stars
- 46
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
@liuruijin17 Thank you very much for the open source, I currently hope to train more GPU, found that the fetchsize and chunk size seem to need to be adjusted synchronously, I don't know how this needs to be changed
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First steps
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Research direction
The issue only identifies the goal of training across multiple GPUs and mentions synchronizing fetchsize with chunk size; no files, tests, or entry points are provided. Begin by locating the training entry point and the definitions of fetchsize and chunk size, then establish the expected multi-GPU behavior and validation needed for the work to be complete.
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
- 20/100