NVIDIA / NVIDIA/cuvs

[FEA] Expose dynamic batching and persistent CAGRA search kernel options through Python API

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feature request
Dominant language
Cuda
Stars
854
Forks
236
Avg merge
3d 3h
Merged PRs (30d)
62

Description

This issue has no description.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No files or tests are named. Start by locating the Python API entry points for CAGRA search and the definitions of the dynamic batching and persistent search kernel options. Done means both option groups can be configured through the Python API, with the relevant behavior verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, search
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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