[FEA] Iterative CAGRA-Q in ANN_BENCH
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Active
- Domain
- machine-learning
Research direction
Start by reviewing the changes removed from cuVS pull request #1810 and the linked discussion comment. Identify the ANN_BENCH work needed for Iterative CAGRA-Q, then verify that the changes are isolated in a separate pull request and that the referenced comment has been addressed.
Written by the indexing model from the issue text.
Description
ann bench changes were removed from https://github.com/NVIDIA/cuvs/pull/1810 and need to be put into a separate PR. This is a tracker for the same. Reminder to address this comment: https://github.com/NVIDIA/cuvs/pull/1810#discussion_r3939786101
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 9h
- Merged PRs (30d)
- 69
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.
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