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Increment to next release, v1.15.1 (#5645)
Summary: - Increment version to 1.15.1 - Update CHANGELOG.md with commits since v1.15.0 (57 commits) - Bump version in CMakeLists.txt, setup.py, Index.h, INSTALL.md Pull Request resolved: https://github.com/facebookresearch/faiss/pull/5645 Test Plan: - [ ] CI passes - [ ] CHANGELOG entries are correctly categorized Reviewed By: mnorris11 Differential Revision: D120264788 Pulled By: alibeklfc fbshipit-source-id: d95d68c9eb0c7c5b06aaeab7d8d0015b99d23145
This commit is contained in:
Alibek Zhakubayev
committed by
meta-codesync[bot]
meta-codesync[bot]
parent
3b3711c112
commit
d63faeaf5a
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@@ -3,6 +3,73 @@ All notable changes to this project will be documented in this file.
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## [Unreleased]
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## [1.15.1] - 2026-09-15
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Added
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- 4fdbc9dc18adbfef3cd410a2446aa4c757320a8a Support ZeroCopyIOReader for IndexRaBitQ deserialization (#5629)
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- b5a14632a6f2bfdc824c86d683b9d6e9205c2604 Run the eight SIMD kernel tests that no build executed (#5620)
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- e6bd1d252caa5b9315a04390269d382845984ae2 Add AVX512 VPOPCNT dynamic dispatch level (#5531)
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- 7f4cedda9c384de652c7bd5690db0f808d668216 Add staged RaBitQ storage to HNSW (#5526)
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- cfbf4ec5ff68d0bca4701d0b24b8a0736e110932 SVS: allow option to disable vector storing (#5525)
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- cda4f6e7133c629e502c2ea9bc51e0ef51847ab1 Expose `IndexBinaryIVF.set_direct_map_type` via the C API (#5451)
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- 256980cb6ea6610e4b0edf497a038086df8bbfce Add SVE low-dimensional nearest fast path and spherical SuperKMeans support (#5530)
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- 3a716ead1a3c4562fe6e96d982d26789c58e19ed Add Windows ARM64 support to CI (#5544)
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- 7059eaf7da7eddda62e71367e684d4bdedd7f94f Add AVX512 bitplane kernel for multi-bit RaBitQ inner product (#5522)
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- a424dcb809fd725c44dd976d9063febd4837d16a faiss HNSW: add opt-in deterministic lock-free graph build (faiss::hnsw_deterministic_build) (#5486)
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- da3191e754b49ca67b6503a9262e96ce5a3d8ed8 IDSelectorWithContext: extend context hook to IVFPQ/PQR, multibit RaBitQ, and Panorama scanners (#5491)
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- edddbc998e858f16330f9b226dfd72f73d4d1d46 IDSelectorWithContext: scan-context hook for locality-aware selectors (#5490)
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Changed
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- 3bb48643ab8ea9e50162b354d2463270acd6ed9c Pin faiss-gpu-cuvs RAPIDS deps to the 26.06 build series (#5643)
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- 6bbb068ad8dab612b84304400846da1b14539085 Measure 20-byte Hamming codes eight at a time (#5587)
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- 3c7042f17a467c38d99f490ef39e4dfa615dc510 Let the binary Hamming paths reach the VPOPCNT kernels
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- 9f993087b07e83f026248addb01dd99e99b15a3e Name the SIMD level masks after what they hold (#5600)
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- e2cf9e1ebf24c14b888fa69eee96713aa6d64b1a Accept ragged code sizes in faiss::hammings(), and fix the vectorization axis for wide codes (#5520)
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- 545550f6a27031c2269881d97237fd6a5bef15df Use unittest assertions and f-strings in test_index_composite (#5571)
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- af9eeffcf70d7795107c2b0511bdba507ac45339 Reserve cs vector capacity in hammings_knn_mc_impl to avoid reallocations (#5548)
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- 317a207bcacfcfa695d98289c3f4ea562b782837 ARM SVE optimization for L2 distance kernels adapted to new simd_impl structure (#5098)
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- 2027d3b33144dbf19674b540ec0e31b2f842b1cc Make cuVS dispatch opt-in rather than build-implied (#5529)
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- a39e2606887bbacc6c8f54e783c4b42da00cf4b3 Fold multi-GPU CAGRA build into train(), delete trainMultiGpu (#5521)
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- 1f93154314afbef210f0ebebeab840da22f9ec7d Revert D114685755: Fold multi-GPU CAGRA build into train(), delete trainMultiGpu
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- 6644dcfa5576221b1a4417fd766a8b2af71d869e Fold multi-GPU CAGRA build into train(), delete trainMultiGpu (#5500)
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- 80a16564f86530dbf0bfaf96c2b71feffeb5093f Enable Faiss dynamic dispatch for OVIS and VeST fbpkgs (#5515)
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- 2688c34f942c8462d97c8632c720a53653456270 Parallelize the k-means++ D^2 seeding update (#5457)
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- 76c67b7b736ca80c2b3ea29528434d6583adc88b Update default Panorama batch size to 1024 (#5441)
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- 3b50babc5914570576b09da043f64dfd7d62a075 Optimize RVV batch-4 distance kernels (#5469)
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Fixed
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- 7c3b55c01b8418dc044881625a260fceae9c712b Make Panorama bounds checks overflow-safe (#5616)
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- fb2d57a3121c073828d2ed7d04ccf09d8bea771c Fix leak and unbounded lists[] in OnDisk invlist deserialization (#5560)
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- fc13c81fb8b22f76e4c2c7bd2f027bd049b9a207 Stop aarch64 falling back to SIMDLevel::NONE in faiss dispatch (#5572)
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- 00928e3f7628b8288c17cfece5ee9600a8287f56 Fix ROCm CI: build in a dedicated conda env instead of the runner's broken base (#5545)
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- 1e5780fbbfbe191f3ed3517f93ace8301239e9b2 Fix OOB read in `Panorama::reconstruct` via `IndexPreTransform` (T287094917) (#5562)
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- 2ed4c106e9fb9686e7727e5daf8ad6ad1e164109 Fix: Windows SIMD detection (#5497)
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- b4c66ba6031d1f659163e43430f8ce745b0dbe79 Fix reverse_index_factory/get_code_size round-trip for HNSW, IMI and IVFPQR (#5564)
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- c0084f5cd2534236acda05cf7b8e0fc8062ddec3 Clamp EDEN unbiased L2 distances to be non-negative (#5569)
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- 6457e941f5f4808303bb480679cb78df0df51934 Contain DirectoryArchiver entries within the extraction root (#5561)
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- ac60182fc009476c91a2788e639191d1f624157f RaBitQ: Fix zero residual sign convention (#5553)
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- 1a0cfa64e015923d5009d8c7d917aa591e9eac9a Apply the deserialization byte limit to SVS IVF (#5568)
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- 718002f7cf269f3f3752dde04a4cc3f8eabb0050 Fix distance conversion in IndexBinaryFromFloat for non-L2 metrics (#5549)
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- 02ea14372c9983f3eaa15698512180dc62ea234d Fix range_search_max_results to respect all similarity metrics (#5533)
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- bd7087453e6d2262b6e6c76ab0cfa1e2dfeddebf fix(faiss): use is_similarity_metric for IndexShardsIVF merge (#5541)
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- 561e6ecdf3337e32542b82c735bfaf83d9e3afaa Merge shard results by metric type rather than assuming similarity (#5509)
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- 613e0acac507c7593ff14dee2c6204a83a539acb Fix IndexIDMap range search parameters (#5536)
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- 8b01f308f09cce7f259a1b8978f82c90fcd54c48 Validate IndexScalarQuantizer codes buffer size on deserialization (#5540)
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- 2832ac3f671f83617087789691c79670ee57c728 Fix empty-index BLAS search results (#5528)
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- e135a1a667a1cfd326faece69d33cf9708a97a7c Fix OSX arm64 nightly: bump libopenblas from 0.3.33 to 0.3.34 (#5538)
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- 920a631851cc7fefe0645c9af81071bb7b2c1237 Don't raise HNSW entry_point to a point that isn't linked yet (#5524)
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- e2f9ccaccc38b4cc3b65c1c70cb076bb639ef8ca Fix SQtqmse codebook scale: fold 1/sqrt(d) into Lloyd-Max table (#5517)
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- 151452ec94b0df219820b120a365c5396f63bef0 Fix SIMD level detection in Faiss (#5507)
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- 02dbb4e42f49aa2ce57cd78977b0e47a11f7cb91 Fix data race in NNDescent::update() (#5413)
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- a9ecee221dd3887b3af886b68c7598d8553a5acd Reject AdditiveQuantizer with zero-bit code size on deserialization (#5506)
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- 4de3bbb6017910ecb3db1d3a9086318c517f6e39 Faiss OSS nightly autofix (#5505)
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- b5ca016ded0921401b532bfd256c2f636406df38 Fix IndexBinaryIVF reconstruct_n and search_and_reconstruct byte stride (#5463)
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- b3942aba5aa318f39e04d36baa00cb118098dc74 Avoid signed int overflow in VStackInvertedLists binary search (#5482)
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Deprecated
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- a74867cf56a73234ad5d957e40c35c9616d4d273 faiss HNSW: delete the flag and the lock-based graph build (#5611)
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- 5702cafcb75359780cefbc5d50b512ac2e5cfde7 Remove dead TurboQuant projection state (#5618)
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## [1.15.0] - 2026-07-31
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Added
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@@ -1412,7 +1479,8 @@ by conda install -c pytorch faiss-gpu cudatoolkit=10.0.
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- C bindings.
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- Extended tutorial to GPU indices.
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[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.15.0...HEAD
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[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.15.1...HEAD
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[1.15.1]: https://github.com/facebookresearch/faiss/compare/v1.15.0...v1.15.1
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[1.15.0]: https://github.com/facebookresearch/faiss/compare/v1.14.3...v1.15.0
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[1.14.3]: https://github.com/facebookresearch/faiss/compare/v1.14.2...v1.14.3
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[1.14.2]: https://github.com/facebookresearch/faiss/compare/v1.14.1...v1.14.2
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+1
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endif()
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project(faiss
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VERSION 1.15.0
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VERSION 1.15.1
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DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
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HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
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LANGUAGES ${FAISS_LANGUAGES})
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@@ -12,13 +12,13 @@ To install the latest stable release:
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``` shell
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# CPU-only version
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$ conda install -c pytorch -c conda-forge faiss-cpu=1.15.0
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$ conda install -c pytorch -c conda-forge faiss-cpu=1.15.1
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# GPU(+CPU) version
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$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.15.0
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$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.15.1
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# GPU(+CPU) version with NVIDIA cuVS
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$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.15.0
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$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.15.1
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# GPU(+CPU) version using AMD ROCm not yet available
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```
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@@ -34,15 +34,15 @@ If you prefer [Pixi](https://pixi.sh/latest/), you can use the same channels and
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``` shell
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# CPU-only version
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$ pixi init -c pytorch -c conda-forge
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$ pixi add faiss-cpu=1.15.0
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$ pixi add faiss-cpu=1.15.1
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# GPU(+CPU) version
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$ pixi init -c pytorch -c nvidia -c conda-forge
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$ pixi add faiss-gpu=1.15.0
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$ pixi add faiss-gpu=1.15.1
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# GPU(+CPU) version with NVIDIA cuVS
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$ pixi init -c pytorch -c nvidia -c rapidsai -c conda-forge
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$ pixi add libnvjitlink faiss-gpu-cuvs=1.15.0
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$ pixi add libnvjitlink faiss-gpu-cuvs=1.15.1
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```
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Pixi resolves packages from the listed Conda channels, so the same channel requirements described above still apply.
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@@ -54,7 +54,7 @@ Nightly pre-release packages can be installed as follows:
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$ conda install -c pytorch/label/nightly -c conda-forge faiss-cpu
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# GPU(+CPU) version
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$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.15.0
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$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.15.1
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# GPU(+CPU) version with NVIDIA cuVS (package built with CUDA 13.2)
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conda install -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia pytorch/label/nightly::faiss-gpu-cuvs 'cuda-version=13.2'
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+1
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#define FAISS_VERSION_MAJOR 1
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#define FAISS_VERSION_MINOR 15
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#define FAISS_VERSION_PATCH 0
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#define FAISS_VERSION_PATCH 1
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// Macro to combine the version components into a single string
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#ifndef FAISS_STRINGIFY
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@@ -119,7 +119,7 @@ are implemented on the GPU. It is developed by Facebook AI Research.
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"""
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setup(
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name="faiss",
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version="1.15.0",
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version="1.15.1",
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description=(
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"A library for efficient similarity search and clustering of dense "
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"vectors"
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