Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
多卡训练提速不明显
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
data_numworker 的数量设置4和8都影响不大，查看gpu发现，显卡的工作不连续
Contributor guide
No contributing guide indexed for this repository
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
The report describes discontinuous GPU work during multi-card training and little change when data_numworker is set to 4 or 8, but names no file or test. Start by reproducing the training configuration and measuring GPU utilization and throughput while varying data_numworker. Done means the cause of the idle periods is identified and multi-card training shows a measurable, documented improvement.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100