michaelfeil / michaelfeil/infinity
Adding max token budget per batch
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- Dominant language
- Python
- Stars
- 2.9k
- Forks
- 206
- PR merge metrics
- No merged PRs in 30d
Description
Currently allowing up to batch_size=64 as default. This can potentially lead to high memory usage, e.g. for jina-8k bert -> 64x8192. It would be better to adjust dynamically and set a token budget, e.g. 64*512=32768 per forward pass.
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 file or test is named. Start by searching the repository for batch_size handling and the forward-pass batching path, then determine where token counts can be measured. Done means batches are adjusted to respect a configurable token budget such as 32768 while avoiding the current high-memory case.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100