为什么实际的显存占用总比我设置的多两个G?
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 585
- Forks
- 67
- PR merge metrics
- No merged PRs in 30d
Description
我设置的memory limit为6<<30的时候，最后的显存占用是8G, 设置为1<<30的时候，就是3G, 总是多2G, 不知道为什么
Contributor guide
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
Reproduce the reported GPU memory usage with memory limits of 6<<30 and 1<<30 in the BMInf Python environment. Record the environment and compare the configured limits with observed usage; done means the consistent 2G discrepancy is explained or corrected.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100