lllyasviel / lllyasviel/FramePack
GPU Utlization and Dedicated memory still high
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- Dominant language
- Python
- Stars
- 17.3k
- Forks
- 1.7k
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Description
How do I exit the program so that GPU Utilization returns to a low number and the Memory of the GPU is cleared as well?
After cancelling the script, the GPU utlization is at 95% even with nothing running. Temperature is at 40C.
The dedicated GPU memory has not been released.
The only way to clear it right now would be to restart my computer.
Any suggestion?
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
No files, tests, or entry points are named. Start by reproducing the issue when the script is cancelled, then trace the cancellation path and observe GPU utilization and dedicated memory afterward. Done means cancellation leaves no ongoing GPU work and releases the dedicated GPU memory without restarting the computer.
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