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Merge pull request #690 from rapidsai/branch-25.02
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@GPUtester
GPUtester authored Feb 13, 2025
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# cuvs 25.02.00 (13 Feb 2025)

## 🚨 Breaking Changes

- update pip devcontainers to UCX 1.18, small update-version.sh fixes ([#604](https://github.com/rapidsai/cuvs/pull/604)) [@jameslamb](https://github.com/jameslamb)
- Improve the performance of CAGRA new vector addition with the default params ([#569](https://github.com/rapidsai/cuvs/pull/569)) [@enp1s0](https://github.com/enp1s0)
- Update for raft logger changes ([#540](https://github.com/rapidsai/cuvs/pull/540)) [@vyasr](https://github.com/vyasr)

## 🐛 Bug Fixes

- Fix ann-bench dataset blob integer overflow leading to incorrect data copy beyond 4B elems ([#671](https://github.com/rapidsai/cuvs/pull/671)) [@achirkin](https://github.com/achirkin)
- Fix ann-bench deadlocking on HNSW destruction due to task locks ([#667](https://github.com/rapidsai/cuvs/pull/667)) [@achirkin](https://github.com/achirkin)
- cuvs-bench Fixes ([#654](https://github.com/rapidsai/cuvs/pull/654)) [@tarang-jain](https://github.com/tarang-jain)
- Fix std::lock_guard use for gcc 14 support ([#639](https://github.com/rapidsai/cuvs/pull/639)) [@enp1s0](https://github.com/enp1s0)
- Fix indexing bug when using parallelism to build CPU hierarchy in HNSW ([#620](https://github.com/rapidsai/cuvs/pull/620)) [@divyegala](https://github.com/divyegala)
- add runtime dependency on libcuvs in cuvs wheels ([#615](https://github.com/rapidsai/cuvs/pull/615)) [@jameslamb](https://github.com/jameslamb)
- Temporarily skip CUDA 11 wheel CI ([#599](https://github.com/rapidsai/cuvs/pull/599)) [@bdice](https://github.com/bdice)
- [Fix] l2_exp random fail in half-float32 mixed precision on self-neighboring ([#596](https://github.com/rapidsai/cuvs/pull/596)) [@rhdong](https://github.com/rhdong)
- Add CAGRA InnerProduct test and fix a bug ([#595](https://github.com/rapidsai/cuvs/pull/595)) [@enp1s0](https://github.com/enp1s0)
- fix cuvs_bench.run --groups options ([#592](https://github.com/rapidsai/cuvs/pull/592)) [@jiangyinzuo](https://github.com/jiangyinzuo)
- Fix cagra_hnsw serialization when dataset is not part of index ([#591](https://github.com/rapidsai/cuvs/pull/591)) [@tfeher](https://github.com/tfeher)
- fix create_pointset for throughput mode ([#589](https://github.com/rapidsai/cuvs/pull/589)) [@jiangyinzuo](https://github.com/jiangyinzuo)
- Fix the use of constexpr in the dynamic batching header ([#582](https://github.com/rapidsai/cuvs/pull/582)) [@achirkin](https://github.com/achirkin)
- Reduce the recall threshold for IVF-PQ low-precision LUT inner product tests ([#573](https://github.com/rapidsai/cuvs/pull/573)) [@achirkin](https://github.com/achirkin)
- Small fixes to docs and pairwise distances ([#570](https://github.com/rapidsai/cuvs/pull/570)) [@cjnolet](https://github.com/cjnolet)
- [BUG] Fix CAGRA graph optimization bug ([#565](https://github.com/rapidsai/cuvs/pull/565)) [@enp1s0](https://github.com/enp1s0)
- Fix broken link to python doc ([#564](https://github.com/rapidsai/cuvs/pull/564)) [@lowener](https://github.com/lowener)
- Fix cagra::extend error message ([#532](https://github.com/rapidsai/cuvs/pull/532)) [@enp1s0](https://github.com/enp1s0)
- Fix Grace-specific issues in CAGRA ([#527](https://github.com/rapidsai/cuvs/pull/527)) [@achirkin](https://github.com/achirkin)

## 📖 Documentation

- add docs for nn_descent ([#668](https://github.com/rapidsai/cuvs/pull/668)) [@Intron7](https://github.com/Intron7)
- Fixing small typo in cuvs bench docs ([#586](https://github.com/rapidsai/cuvs/pull/586)) [@cjnolet](https://github.com/cjnolet)
- Fix typos in README ([#543](https://github.com/rapidsai/cuvs/pull/543)) [@nvanbenschoten](https://github.com/nvanbenschoten)
- Use nvidia-sphinx-theme for docs ([#528](https://github.com/rapidsai/cuvs/pull/528)) [@benfred](https://github.com/benfred)

## 🚀 New Features

- Add deep-100M to datasets.yaml for cuvs-bench ([#670](https://github.com/rapidsai/cuvs/pull/670)) [@tarang-jain](https://github.com/tarang-jain)
- Expose configuration singleton as a global context for ann-bench algos ([#647](https://github.com/rapidsai/cuvs/pull/647)) [@achirkin](https://github.com/achirkin)
- ANN_BENCH enhanced dataset support ([#624](https://github.com/rapidsai/cuvs/pull/624)) [@achirkin](https://github.com/achirkin)
- [Feat] Add Support for Index `merge` in CAGRA ([#618](https://github.com/rapidsai/cuvs/pull/618)) [@rhdong](https://github.com/rhdong)
- HNSW GPU hierarchy ([#616](https://github.com/rapidsai/cuvs/pull/616)) [@divyegala](https://github.com/divyegala)
- CAGRA binary Hamming distance support ([#610](https://github.com/rapidsai/cuvs/pull/610)) [@enp1s0](https://github.com/enp1s0)
- Add cuda 12.8 support ([#605](https://github.com/rapidsai/cuvs/pull/605)) [@robertmaynard](https://github.com/robertmaynard)
- Add support for refinement with `uint32_t` index type ([#563](https://github.com/rapidsai/cuvs/pull/563)) [@lowener](https://github.com/lowener)
- [Feat] Support `bitset` filter for Brute Force ([#560](https://github.com/rapidsai/cuvs/pull/560)) [@rhdong](https://github.com/rhdong)
- Remove upper bounds on cuda-python to allow 12.6.2 and 11.8.5 ([#508](https://github.com/rapidsai/cuvs/pull/508)) [@bdice](https://github.com/bdice)

## 🛠️ Improvements

- Add filtering to python for ivf_flat ([#664](https://github.com/rapidsai/cuvs/pull/664)) [@benfred](https://github.com/benfred)
- Expose binary quantizer to C and Python ([#660](https://github.com/rapidsai/cuvs/pull/660)) [@benfred](https://github.com/benfred)
- Add telemetry ([#652](https://github.com/rapidsai/cuvs/pull/652)) [@gforsyth](https://github.com/gforsyth)
- Revert docs builds to CI latest tag. ([#643](https://github.com/rapidsai/cuvs/pull/643)) [@bdice](https://github.com/bdice)
- Add float16 support in python for cagra/brute_force/ivf_pq and scalar quantizer ([#637](https://github.com/rapidsai/cuvs/pull/637)) [@benfred](https://github.com/benfred)
- Expose NN-Descent to C and Python ([#635](https://github.com/rapidsai/cuvs/pull/635)) [@benfred](https://github.com/benfred)
- Revert CUDA 12.8 shared workflow branch changes ([#630](https://github.com/rapidsai/cuvs/pull/630)) [@vyasr](https://github.com/vyasr)
- cuvs-java: Rework the api to be Java 21 friendly ([#628](https://github.com/rapidsai/cuvs/pull/628)) [@ChrisHegarty](https://github.com/ChrisHegarty)
- Build and test with CUDA 12.8.0 ([#621](https://github.com/rapidsai/cuvs/pull/621)) [@bdice](https://github.com/bdice)
- Add Scalar Quantization to the c and python apis ([#617](https://github.com/rapidsai/cuvs/pull/617)) [@benfred](https://github.com/benfred)
- Iteratively build graph index ([#612](https://github.com/rapidsai/cuvs/pull/612)) [@anaruse](https://github.com/anaruse)
- update pip devcontainers to UCX 1.18, small update-version.sh fixes ([#604](https://github.com/rapidsai/cuvs/pull/604)) [@jameslamb](https://github.com/jameslamb)
- Reduce CAGRA test runtime ([#602](https://github.com/rapidsai/cuvs/pull/602)) [@bdice](https://github.com/bdice)
- Revert "Temporarily skip CUDA 11 wheel CI" ([#601](https://github.com/rapidsai/cuvs/pull/601)) [@bdice](https://github.com/bdice)
- introduce libcuvs wheels ([#594](https://github.com/rapidsai/cuvs/pull/594)) [@jameslamb](https://github.com/jameslamb)
- Normalize whitespace ([#593](https://github.com/rapidsai/cuvs/pull/593)) [@bdice](https://github.com/bdice)
- Rename test to tests. ([#590](https://github.com/rapidsai/cuvs/pull/590)) [@bdice](https://github.com/bdice)
- Use cuda.bindings layout. ([#588](https://github.com/rapidsai/cuvs/pull/588)) [@bdice](https://github.com/bdice)
- run_cuvs_pytests.sh uses proper test dir ([#584](https://github.com/rapidsai/cuvs/pull/584)) [@robertmaynard](https://github.com/robertmaynard)
- expose col-major bfknn to python ([#575](https://github.com/rapidsai/cuvs/pull/575)) [@benfred](https://github.com/benfred)
- Run cuvs-bench pytests and end-to-end tests in CI ([#574](https://github.com/rapidsai/cuvs/pull/574)) [@dantegd](https://github.com/dantegd)
- Expose col-major pairwise distances to python ([#572](https://github.com/rapidsai/cuvs/pull/572)) [@benfred](https://github.com/benfred)
- Improve the performance of CAGRA new vector addition with the default params ([#569](https://github.com/rapidsai/cuvs/pull/569)) [@enp1s0](https://github.com/enp1s0)
- Improve filtering documentation ([#568](https://github.com/rapidsai/cuvs/pull/568)) [@lowener](https://github.com/lowener)
- Use GCC 13 in CUDA 12 conda builds. ([#567](https://github.com/rapidsai/cuvs/pull/567)) [@bdice](https://github.com/bdice)
- Allow brute_force::build to work on host matrix dataset ([#562](https://github.com/rapidsai/cuvs/pull/562)) [@benfred](https://github.com/benfred)
- FAISS with cuVS enabled in cuvs-bench ([#561](https://github.com/rapidsai/cuvs/pull/561)) [@tarang-jain](https://github.com/tarang-jain)
- Vamana build improvement and added docs ([#558](https://github.com/rapidsai/cuvs/pull/558)) [@bkarsin](https://github.com/bkarsin)
- Support raft's logger targets ([#557](https://github.com/rapidsai/cuvs/pull/557)) [@vyasr](https://github.com/vyasr)
- Get Breathe from conda again ([#554](https://github.com/rapidsai/cuvs/pull/554)) [@vyasr](https://github.com/vyasr)
- Check if nightlies have succeeded recently enough ([#548](https://github.com/rapidsai/cuvs/pull/548)) [@vyasr](https://github.com/vyasr)
- Add support for float16 to the python pairwise distance api ([#547](https://github.com/rapidsai/cuvs/pull/547)) [@benfred](https://github.com/benfred)
- Additional Distances for CAGRA C and Python API ([#546](https://github.com/rapidsai/cuvs/pull/546)) [@tarang-jain](https://github.com/tarang-jain)
- remove setup.cfg files, other packaging cleanup ([#544](https://github.com/rapidsai/cuvs/pull/544)) [@jameslamb](https://github.com/jameslamb)
- Fix CI for python cuvs_bench ([#541](https://github.com/rapidsai/cuvs/pull/541)) [@benfred](https://github.com/benfred)
- Update for raft logger changes ([#540](https://github.com/rapidsai/cuvs/pull/540)) [@vyasr](https://github.com/vyasr)
- Change brute_force api to match ivf*/cagra ([#536](https://github.com/rapidsai/cuvs/pull/536)) [@benfred](https://github.com/benfred)
- Branch 25.02 merge 24.12 ([#526](https://github.com/rapidsai/cuvs/pull/526)) [@benfred](https://github.com/benfred)
- Update cuda-python lower bounds to 12.6.2 / 11.8.5 ([#524](https://github.com/rapidsai/cuvs/pull/524)) [@bdice](https://github.com/bdice)
- Automatic adjustment of itopk size according to filtering rate ([#509](https://github.com/rapidsai/cuvs/pull/509)) [@anaruse](https://github.com/anaruse)
- prefer system install of UCX in devcontainers ([#501](https://github.com/rapidsai/cuvs/pull/501)) [@jameslamb](https://github.com/jameslamb)
- Adapt to rmm logger changes ([#499](https://github.com/rapidsai/cuvs/pull/499)) [@vyasr](https://github.com/vyasr)
- Require approval to run CI on draft PRs ([#498](https://github.com/rapidsai/cuvs/pull/498)) [@bdice](https://github.com/bdice)
- Remove RAFT BUILD_ANN_BENCH option ([#497](https://github.com/rapidsai/cuvs/pull/497)) [@bdice](https://github.com/bdice)
- Update example code fetching rapids-cmake to use CUVS instead of RAFT ([#493](https://github.com/rapidsai/cuvs/pull/493)) [@bdice](https://github.com/bdice)
- Improve multi-CTA algorithm ([#492](https://github.com/rapidsai/cuvs/pull/492)) [@anaruse](https://github.com/anaruse)
- Add filtering for CAGRA to C API ([#452](https://github.com/rapidsai/cuvs/pull/452)) [@ajit283](https://github.com/ajit283)
- Initial cut for a cuVS Java API ([#450](https://github.com/rapidsai/cuvs/pull/450)) [@chatman](https://github.com/chatman)
- Add breaking change workflow trigger ([#442](https://github.com/rapidsai/cuvs/pull/442)) [@AyodeAwe](https://github.com/AyodeAwe)
- Expose `extend()` in C API ([#276](https://github.com/rapidsai/cuvs/pull/276)) [@ajit283](https://github.com/ajit283)
- Go API - [WIP] ([#212](https://github.com/rapidsai/cuvs/pull/212)) [@ajit283](https://github.com/ajit283)

# cuvs 24.12.00 (11 Dec 2024)

## 🚨 Breaking Changes
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