[BUG] CI Failure on ANN Descent
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bug
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
While CI was running on a Java PR, this C++ test failed:
[ RUN ] AnnNNDescentTest/AnnNNDescentTestI8_U32.AnnNNDescent/116
[859479][06:35:48:642681][info ] Recall = 0.885602 (113357/128000), the error is 14.4% above the threshold (eps = 0.001000).
/tmp/conda-bld-output/bld/rattler-build_libcuvs/work/cpp/tests/neighbors/ann_nn_descent/../ann_nn_descent.cuh:151: Failure
Value of: eval_neighbours(indices_naive, indices_NNDescent, distances_naive, distances_NNDescent, ps.n_rows, ps.graph_degree, 0.001, min_recall)
Actual: false (actual recall (0.88560156249999999) is lower than the minimum expected recall (0.90000000000000002); eps = 0.001. )
Expected: true
[ FAILED ] AnnNNDescentTest/AnnNNDescentTestI8_U32.AnnNNDescent/116, where GetParam() = dataset shape=2000x1024, graph_degree=64, metric=6, device
(87 ms)
https://github.com/rapidsai/cuvs/actions/runs/18864158066/job/53829943019?pr=1469
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
Research direction
Start with the failing AnnNNDescent test and the assertion at cpp/tests/neighbors/ann_nn_descent/../ann_nn_descent.cuh:151, then inspect the linked CI job for the Java PR. Reproduce the dataset shape=2000x1024 case and investigate why recall is 0.8856 instead of the required 0.9000; done means the test passes its minimum recall check.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- search, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100