Increment next release, v1.11.0 (#4308)
Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4308 Increment to next release of Faiss, v1.11.0 Differential Revision: D73595484 fbshipit-source-id: bc065fa84ccdfbab8e6518e71d1ce8d7d8bd5bdepull/4314/head v1.11.0
Michael Norris
Facebook GitHub Bot
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CHANGELOG.md
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CHANGELOG.md
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@ -3,6 +3,87 @@ All notable changes to this project will be documented in this file.
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## [Unreleased]
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## [1.11.0] - 2025-04-24
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Added
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- RaBitQ implementation (#4235)
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- Add RaBitQ to the swigfaiss so we can access its properties correctly in python (#4304)
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- Add date and time to the codec file path so that the file doesn't get overridden with each run (#4303)
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- Add missing header in faiss/CMakeLists.txt (#4285)
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- Implement is_spherical and normalize_L2 booleans as part of the training APIs (#4279)
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- Add normalize_l2 boolean to distributed training API
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- re-land mmap diff (#4250)
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- SearchParameters support for IndexBinaryFlat (#4055)
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- Support non-partition col and map in the embedding reader (#4229)
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- Support cosine distance for training vectors (#4227)
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- Add missing #include in code_distance-sve.h (#4219)
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- Add the support for IndexIDMap with Cagra index (#4188)
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- Add bounds checking to hnsw nb_neighbors (#4185)
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- Add sharding convenience function for IVF indexes (#4150)
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- Added support for building for MinGW, in addition to MSVC (#4145)
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Changed
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- Skip mmap test case in AIX. (#4275)
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- Handle insufficient driver gracefully (#4271)
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- relax input params for IndexIVFRaBitQ::get_InvertedListScanner() (#4270)
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- Allow using custom index readers and writers (#4180)
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- Upgrade to libcuvs=25.04 (#4164)
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- ignore regex (#4264)
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- Publish the C API to Conda (#4186)
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- Pass row filters to Hive Reader to filter rows (#4256)
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- Back out "test merge with internal repo" (#4244)
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- test merge with internal repo (#4242)
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- Revert D69972250: Memory-mapping and Zero-copy deserializers
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- Revert D69984379: mem mapping and zero-copy python fixes
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- mem mapping and zero-copy python fixes (#4212)
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- Memory-mapping and Zero-copy deserializers (#4199)
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- Use `nullptr` in faiss/gpu/StandardGpuResources.cpp (#4232)
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- Make static method in header inline (#4214)
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- Upgrade openblas to 0.3.29 for ARM architectures (#4203)
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- Pass `store_dataset` argument along to cuVS CAGRA (#4173)
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- Handle plain SearchParameters in HNSW searches (#4167)
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- Update INSTALL.md to remove some raft references, add missing dependency (#4176)
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- Update README.md (#4169)
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- Update CAGRA docs (#4152)
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- Expose IDSelectorBitmap in the C_API (#4158)
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Fixed
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- fix: algorithm of spreading vectors over shards (#4299)
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- Fix overflow of int32 in IndexNSG (#4297)
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- Fix Type Error in Conditional Logic (#4294)
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- faiss/gpu/GpuAutoTune.cpp: fix llvm-19-exposed -Wunused-but-set-variable warnings
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- Fix nightly by pinning conda-build to prevent regression in 25.3.2 (#4287)
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- Fix CQS signal. Id] 88153895 -- readability-redundant-string-init in fbcode/faiss (#4283)
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- Fix a placeholder for 'unimplemented' in mapped_io.cpp (#4268)
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- fix bug: IVFPQ of raft/cuvs does not require redundant check (#4241)
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- fix a serialization problem in RaBitQ (#4261)
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- Grammar fix in FlatIndexHNSW (#4253)
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- Fix CUDA kernel index data type in faiss/gpu/impl/DistanceUtils.cuh +10 (#4246)
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- fix `IVFPQFastScan::RangeSearch()` on the `ARM` architecture (#4247)
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- fix integer overflow issue when calculating imbalance_factor (#4245)
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- Fix bug with metric_arg in IndexHNSW (#4239)
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- Address compile errors and warnings (#4238)
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- faiss: fix non-templated hammings function (#4195)
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- Fix LLVM-19 compilation issue in faiss/AutoTune.cpp (#4220)
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- Fix cloning and reverse index factory for NSG indices (#4151)
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- Remove python_abi to fix nightly (#4217)
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- Fix IVF quantizer centroid sharding so IDs are generated (#4197)
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- Pin lief to fix nightly (#4211)
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- Fix Sapphire Rapids never loading in Python bindings (#4209)
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- Attempt to nightly fix (#4204)
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- Fix nightly by installing earlier version of lief (#4198)
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- Check for not completed
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- Fix install error when building avx512_spr variant (#4170)
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- fix: gpu tests link failure with static lib (#4137)
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- Fix the order of parameters in bench_scalar_quantizer_distance. (#4159)
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Deprecated
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- Remove unused exception parameter from faiss/impl/ResultHandler.h (#4243)
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- Remove unused variable (#4205)
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## [1.10.0] - 2025-01-30
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@ -459,7 +540,9 @@ 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/v1.9.0...HEAD
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[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.11.0...HEAD
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[1.11.0]: https://github.com/facebookresearch/faiss/compare/v1.10.0...v1.11.0
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[1.10.0]: https://github.com/facebookresearch/faiss/compare/v1.9.0...v1.10.0
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[1.9.0]: https://github.com/facebookresearch/faiss/compare/v1.8.0...v1.9.0
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[1.8.0]: https://github.com/facebookresearch/faiss/compare/v1.7.4...v1.8.0
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[1.7.4]: https://github.com/facebookresearch/faiss/compare/v1.7.3...v1.7.4
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@ -47,7 +47,7 @@ if(FAISS_ENABLE_CUVS)
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endif()
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project(faiss
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VERSION 1.10.0
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VERSION 1.11.0
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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 faiss-cpu=1.10.0
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$ conda install -c pytorch faiss-cpu=1.11.0
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# GPU(+CPU) version
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$ conda install -c pytorch -c nvidia faiss-gpu=1.10.0
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$ conda install -c pytorch -c nvidia faiss-gpu=1.11.0
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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=1.10.0
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$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.11.0
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# GPU(+CPU) version using AMD ROCm not yet available
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```
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@ -34,7 +34,7 @@ Nightly pre-release packages can be installed as follows:
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$ conda install -c pytorch/label/nightly faiss-cpu
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# GPU(+CPU) version
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$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.10.0
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$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.11.0
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# GPU(+CPU) version with NVIDIA cuVS (package built with CUDA 12.4)
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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>=12.0,<=12.5'
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@ -17,7 +17,7 @@
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#include <typeinfo>
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#define FAISS_VERSION_MAJOR 1
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#define FAISS_VERSION_MINOR 10
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#define FAISS_VERSION_MINOR 11
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#define FAISS_VERSION_PATCH 0
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// Macro to combine the version components into a single string
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@ -105,7 +105,7 @@ 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="1.10.0",
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version="1.11.0",
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description="A library for efficient similarity search and clustering of dense vectors",
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long_description=long_description,
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url="https://github.com/facebookresearch/faiss",
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