Why use this restrict? How to do when batch size is small on my machine?
Open
- Dominant language
- Python
- Stars
- 799
- Forks
- 111
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/ChenRocks/UNITER/blob/80d3602d71d65700eab373acb0507e31e251b7e7/data/sampler.py#L41
Contributor guide
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Research direction
Start with data/sampler.py at line 41 and read the surrounding sampler logic to understand why the restriction is applied. Trace how batch size is supplied, then define and validate the expected behavior for small batches before proposing a documented resolution.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100