Prepare for v.1.8.0 release (#3265)

Summary:
Prepare for v1.8.0 release

Pull Request resolved: #3265

Reviewed By: mdouze

Differential Revision: D54232846

Pulled By: junjieqi

fbshipit-source-id: f92efc93e340507262321c5033bab7fede7d7f40

CHANGELOG.md

@@ -9,7 +9,34 @@ We try to indicate most contributions here with the contributor names who are no
 the Facebook Faiss team.  Feel free to add entries here if you submit a PR.
 
 ## [Unreleased]
-- Support for range search in HNSW and Fast scan IVF.
+
+## [1.8.0] - 2024-02-27
+### Added
+- Added a new conda package faiss-gpu-raft alongside faiss-cpu and faiss-gpu
+- Integrated IVF-Flat and IVF-PQ implementations in faiss-gpu-raft from RAFT by Nvidia [thanks Corey Nolet and Tarang Jain]
+- Added a context parameter to InvertedLists and InvertedListsIterator
+- Added Faiss on Rocksdb demo to showing how inverted lists can be persisted in a key-value store
+- Introduced Offline IVF framework powered by Faiss big batch search
+- Added SIMD NEON Optimization for QT_FP16 in Scalar Quantizer. [thanks Naveen Tatikonda]
+- Generalized ResultHandler and supported range search for HNSW and FastScan
+- Introduced avx512 optimization mode and FAISS_OPT_LEVEL env variable [thanks Alexandr Ghuzva]
+- Added search parameters for IndexRefine::search() and IndexRefineFlat::search()
+- Supported large two-level clustering
+- Added support for Python 3.11 and 3.12
+- Added support for CUDA 12
+
+### Changed
+- Used the benchmark to find Pareto optimal indices. Intentionally limited to IVF(Flat|HNSW),PQ|SQ indices
+- Splitted off RQ encoding steps to another file
+- Supported better NaN handling
+- HNSW speedup + Distance 4 points [thanks Alexandr Ghuzva]
+
+### Fixed
+- Fixed DeviceVector reallocations in Faiss GPU
+- Used efSearch from params if provided in HNSW search
+- Fixed warp synchronous behavior in Faiss GPU CUDA 12
+
+
 ## [1.7.4] - 2023-04-12
 ### Added
 - Added big batch IVF search for conducting efficient search with big batches of queries
@@ -259,7 +286,8 @@ by conda install -c pytorch faiss-gpu cudatoolkit=10.0.
 - C bindings.
 - Extended tutorial to GPU indices.
 
-[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.7.4...HEAD
+[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.8.0...HEAD
+[1.8.0]: https://github.com/facebookresearch/faiss/compare/v1.7.4...v1.8.0
 [1.7.4]: https://github.com/facebookresearch/faiss/compare/v1.7.3...v1.7.4
 [1.7.3]: https://github.com/facebookresearch/faiss/compare/v1.7.2...v1.7.3
 [1.7.2]: https://github.com/facebookresearch/faiss/compare/v1.7.1...v1.7.2

CMakeLists.txt

@@ -40,7 +40,7 @@ rapids_cuda_init_architectures(faiss_c_library)
 endif()
 
 project(faiss
-  VERSION 1.7.4
+  VERSION 1.8.0
   DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
   HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
   LANGUAGES ${FAISS_LANGUAGES})

faiss/Index.h

@@ -17,8 +17,8 @@
 #include <typeinfo>
 
 #define FAISS_VERSION_MAJOR 1
-#define FAISS_VERSION_MINOR 7
-#define FAISS_VERSION_PATCH 4
+#define FAISS_VERSION_MINOR 8
+#define FAISS_VERSION_PATCH 0
 
 /**
  * @namespace faiss

faiss/python/setup.py

@@ -60,7 +60,7 @@
 """
 setup(
     name='faiss',
-    version='1.7.4',
+    version='1.8.0',
     description='A library for efficient similarity search and clustering of dense vectors',
     long_description=long_description,
     url='https://github.com/facebookresearch/faiss',