mindspore-ai / mindspore-ai/hyper-parallel
[Bug]: incorrect logging message in hyper-parallel trainer
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bug
- Dominant language
- Python
- Stars
- 53
- Forks
- 63
- Avg merge
- 23h 45m
- Merged PRs (30d)
- 63
Description
Checklist
- 1. I have searched the existing issues (https://gitcode.com/mindspore/hyper-parallel/issues)
- 2. I have read the relevant documentation.
- 3. I have created a minimal reproduction case that clearly demonstrates the issue, including a complete code example and the error message with full traceback and error logs.
🐛 Describe the bug
- multiply tqdm rows in one training step
- report zero tokens/s in training logging
Expected behavior
- one tqdm row for one training step
- actual value of tokens/s
Additional context
No response
Environment info
any cann | torch version
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
Start by running the minimal reproduction described in the issue and observe the trainer's tqdm output and tokens/s value during one training step. Trace the training logging and progress-display entry points to determine why multiple rows appear and tokens/s is zero; done means one row per step and the actual tokens/s value is reported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100