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This was referenced Oct 11, 2026
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…ally built libcuvs
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Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
CI-only benchmark harness for #2801 and #2804. Do not merge.
It builds three libcuvs conda packages in one workflow run, from the same tree and with the same recipe:
main,main+ #2801, andmain+ #2804 (patches inci/bench/patches). One benchmark binary (ci/bench/bench.cu, public API only) is compiled once, and each variant gets a copy whose RPATH points at its ownlibcuvs.so(checked at run time). Variants are interleaved in rounds with rotating order. The workload group comes from the matrix'sDEPENDENCIESfield:kmeans,ivf,lite,tests,profileandprofile2(seeci/bench/run.sh).ci/bench/summarize.pyprints the tables.Runs: full sweep https://github.com/NVIDIA/cuvs/actions/runs/38154672010; profiles https://github.com/NVIDIA/cuvs/actions/runs/38160888485 and https://github.com/NVIDIA/cuvs/actions/runs/38165062741.