alibaba / alibaba/FederatedScope
训练得到的total_flops是负数
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 261
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Description
这是训练结束后得到的部分输出(monitor:173) INFO: In worker #1, the system-related metrics are: {'id': 1, 'fl_end_time_minutes': 125.160295, 'total_model_size': 124440576, 'total_flops': -3000, 'total_upload_bytes': 0, 'total_download_bytes': 16470960, 'global_convergence_round': 0, 'local_convergence_round': 0, 'global_convergence_time_minutes': 0, 'local_convergence_time_minutes': 0}。其中total_flops是-3000,请问会是什么原因导致的呢?是因为数据溢出了吗?
Contributor guide
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Research direction
No file, test, or reproducible configuration is provided. Start by reproducing the training run that produced monitor:173 and trace how the system-related metric total_flops is calculated. Confirm the cause of -3000 and add a regression check for the corrected metric value.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100