It seems that VRAM is not being used
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- Dominant language
- Python
- Stars
- 13.7k
- Forks
- 1.3k
- PR merge metrics
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Description
It seems that during inference, not much GPU memory is used, even though the GPU usage is at full capacity. However, the memory usage is quite high.
How much memory is actually required? when running on a server with 12GB of RAM, it was directly "killed".
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 issue names no file, test, or entry point. Start by reproducing inference on the reported 12GB-RAM server and measuring host and GPU memory. Done means documenting the memory requirement and determining whether the reported memory behavior is expected or a bug.
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