NVIDIA / NVIDIA/cuvs

[FEA] [C++ API] Fully support padded dataset as input to CAGRA build

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

Description

  • Verify it works for all of the build algo methods
  • Verify this in build kernel code to ensure kernel can process padded 0's

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

Start at the CAGRA C++ API build entry points and the build kernel code. Check each build algorithm method with padded datasets, then verify that the kernels correctly process padded zero values; done means all build methods accept this input without failures.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
45/100

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