NVIDIA / NVIDIA/cuvs

[BUG] cuvs-java: creating a carga index with a single vectors fails with cudaErrorIllegalAddress:an illegal memory access was encountered

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

Description

Describe the bug
Creating a carga index with a single vectors fails with cudaErrorIllegalAddress:an illegal memory access was encountered

Steps/Code to reproduce bug

// This is a non-realistic trivial dataset, with just a single small
// vector. It demonstrates that trying to build a cagra index with a
// single vector fails. Such a scenario can happen when data is indexed
// and merged across shards, e.g. in Lucene or Elasticsearch.
@Test
public void testIndexAndSearchSingle() throws Throwable {
  float[][] dataset = {
      { 0.74021935f, 0.9209938f }
  };

  try (CuVSResources resources = CuVSResources.create()) {
    CagraIndexParams indexParams = new CagraIndexParams.Builder()
      .withCagraGraphBuildAlgo(CagraGraphBuildAlgo.NN_DESCENT)
      .withGraphDegree(1)
      .withIntermediateGraphDegree(2)
      .withNumWriterThreads(32)
      .withMetric(CuvsDistanceType.L2Expanded)
      .build();
    CagraIndex index = CagraIndex.newBuilder(resources)
      .withDataset(dataset)
      .withIndexParams(indexParams)
      .build();
    index.destroyIndex();
  }
}

Expected behavior

It will simply java clients if they do not have to special case when the dataset contain a single vector.

Environment details (please complete the following information):

  • Environment location: [Bare-metal, Docker, Cloud(specify cloud provider)]
    • AWS g4dn.2xlarge, Ubuntu 22.04 + cuda 12.6

set the JAVA_HOME env variable to JDK 22

JAVA_HOME=/home/ubuntu/binaries/jdk-22.0.2/

Additional context

Fails on branch-25.02

Contributor guide

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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 with the testIndexAndSearchSingle reproduction and the CagraIndex.newBuilder call on branch-25.02, then run the provided single-vector dataset case in the stated CUDA 12.6 environment. Done means creating and destroying the index completes without cudaErrorIllegalAddress.

Written by the indexing model from the issue text.

Assessment

Tech stack
java
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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