google-deepmind / google-deepmind/jaxline
RESOURCE_EXHAUSTED: Out of memory while trying to allocate * bytes.
Open
- Dominant language
- Python
- Stars
- 164
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
I was trying jaxline with 2 local GPUs, but I receive ` RESOURCE_EXHAUSTED: Out of memory while trying to allocate 285212672 bytes.` errors. I have sufficient memory available on the GPUs.
Thank you.
Contributor guide
Research direction
No file, test, model, or configuration is named. Start by reproducing jaxline with two local GPUs and record the GPU models, memory usage, and training configuration around the 285212672-byte allocation. Done means identifying the allocation failure and providing a verified fix or a clear, reproducible explanation.
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