Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
How to enable multi-card training
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
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Description
Traceback (most recent call last):
File "/home/hongyuanyang/YOLOX-main/tools/train.py", line 149, in
args=(exp, args),
File "/home/hongyuanyang/YOLOX-main/yolox/core/launch.py", line 67, in launch
), "dist_url=auto cannot work with distributed training."
AssertionError: dist_url=auto cannot work with distributed training.
Contributor guide
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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 with tools/train.py at line 149 and yolox/core/launch.py at line 67, then inspect the repository's distributed-training guidance. Determine the supported multi-card invocation and document the required configuration so the reported assertion is avoided; the issue currently does not define a specific acceptance test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100