Float codebook vectors support for PQ dataset and Iterative CAGRA-Q
Nobody has claimed this yet.
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
We currently support fp16 (half) codebook vectors types for PQ dataset and Iterative CAGRA-Q build.
The CAGRA-Q search kernels already support float codebook vectors types as well. We can explore whether it is worth implementing the float support end-to-end and if that has any benefits.
https://github.com/NVIDIA/cuvs/pull/1810#discussion_r3975137010
Contributor guide
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
Start with the linked PR discussion, then trace the existing fp16 codebook-vector support for the PQ dataset and Iterative CAGRA-Q build, along with the CAGRA-Q search kernels' float support. Determine whether end-to-end float support provides benefits; done means reaching and documenting that decision and implementing the agreed scope if warranted.
Written by the indexing model from the issue text.
Assessment
- Domain
- search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100