Memory error
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 287
- Forks
- 78
- PR merge metrics
- No merged PRs in 30d
Description
I'm trying to train the model on a machine with i5-6200U and 8GB of RAM.
When I start the training the memory fills up to 80% then I get a memory error.
I tried using the batch_size=1 but it didn't help.
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 source file, test, or entry point is named. Start by reproducing training with the reported i5-6200U, 8GB RAM, and batch_size=1, then trace the training configuration and memory usage. Done means identifying the cause of the memory error and establishing a verified fix or clear limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100