Increment next release, v1.10.0

Author: mnorris11

CHANGELOG.md

@@ -3,6 +3,126 @@ All notable changes to this project will be documented in this file.
 
 ## [Unreleased]
 
+## [1.10.0] - 2025-01-30
+
+
+Added
+- Add desc_name to dataset descriptor (#3935)
+- implement ST_norm_from_LUT for the ResidualQuantizer (#3917)
+- Add example of how to build, link, and test an external SWIG module (#3922)
+- add copyright header (#3948)
+- Add some SVE implementations (#3933)
+- Enable linting: lint config changes plus arc lint command (#3966)
+- Re-add example of how to build, link, and test an external SWIG module (#3981)
+- demo: IndexPQ: separate codes from codebook (#3987)
+- add all wrapped indexes to the index_read (#3988)
+- add validity check AlignedTableTightAlloc clear method (#3997)
+- Add index binary to telemetry (#4001)
+- Add VectorTransform read from filename to the C API (#3970)
+- Added IndexLSH to the demo (#4009)
+- write distributed_kmeans centroids and assignments to hive tables (#4017)
+- introduce data splits in dataset descriptor (#4012)
+- Faiss GPU: bfloat16 brute-force kNN support (#4018)
+- ROCm support for bfloat16 (#4039)
+- Unit tests for distances_simd.cpp (#4058)
+- add cuda-toolkit for GPU (#4057)
+- Add more unit testing for IndexHNSW [1/n] (#4054)
+- Add more unit testing for IndexHNSW [2/n] (#4056)
+- Add more unit testing for HNSW [3/n] (#4059)
+- Add more unit testing for HNSW [4/n] (#4061)
+- Add more unit tests for index_read and index_write (#4068)
+- Add testing for utils/hamming.cpp (#4079)
+- Test sa_decode methd on IndexIVFFlat (#4098)
+- Conditionally compile extras like benchmarks and demos (#4094)
+- Add a new architecture mode: 'avx512_spr'. (#4025)
+- Use _mm512_popcnt_epi64 to speedup hamming distance evaluation. (#4020)
+- PQ with pytorch (#4116)
+- add range_search() to IndexRefine (#4022)
+- Expose accumulate_to_mem from faiss interface (#4099)
+- Windows Arm64 support (#4087)
+- add test to cover GPU (#4130)
+- Added support for building without MKL (#4147)
+
+Changed
+- Move train, build and search to their respective operators (#3934)
+- PQFS into Index trainer (#3941)
+- Place a useful cmake function 'link_to_faiss_lib' into a separate file (#3939)
+- Cache device major version value to avoid multiple calls of getCudaDeviceProperties (#3950)
+- Consolidate set_target_properties() calls in faiss/CMakeLists.txt (#3973)
+- Removing Manual Hipify Build Step (#3962)
+- Allow to replace graph structure for NSG graphs (#3975)
+- Adjust nightly build (#3978)
+- Update RAFT CI with pytorch 2.4.1 (#3980)
+- Moved add_sa_codes, sa_code_size to Index, IndexBinary base classes (#3989)
+- Update autoclose.yml (#4000)
+- Migrate from RAFT to CUVS (#3549)
+- Pin to numpy<2 (#4033)
+- (1/n) - Preload datasets in manifold so that subsequent stages of training, indexing and search can use those instead of each trainer or indexer downloading data. (#4034)
+- Constrain conda version for Windows build (#4040)
+- Updates to faiss-gpu-cuvs nightly pkg (#4032)
+- pin the dependecies version for x86_64 (#4046)
+- pin arm64 dependency (#4060)
+- Pin conda build (#4062)
+- Improve naming due to codemod (#4063)
+- Improve naming due to codemod (#4064)
+- Improve naming due to codemod (#4065)
+- separare the github build into two conditions (#4066)
+- Improve naming due to codemod (#4070)
+- improve naming due to codemod (#4067)
+- improve naming due to codemod (#4071)
+- improve naming due to codemod (#4072)
+- fix nightily build (#4080)
+- Change github action workflows name (#4083)
+- Resolve Packaging Issues (#4044)
+- Update __init__.py (#4086)
+- Exhaustive IVF probing in scalar quantizer tests (#4075)
+- Pin Nightlies with testing on PR (#4088)
+- Update benchmarking library code to work for IdMap index as well (#4093)
+- Update action.yml (#4100)
+- Upgrade CUVS to 24.12 (#4021)
+- Link cuVS Docs (#4084)
+- Set KnnDescriptor.desc_name in the Benchmarking core framework in FAISS like other descriptors (#4109)
+- enable quiet mode for conda install (#4112)
+- Disable retry build (#4124)
+- Add ngpu default argument to knn_ground_truth (#4123)
+- Update code comment to reflect the range of IF from [1, k] (#4139)
+- Reenable auto retry workflow (#4140)
+- Migration off defaults to conda-forge channel (#4126)
+- Benchmarking Scripts for cuVS Index, more docs updates (#4117)
+
+Fixed
+- Fix total_rows (#3942) 
+- Fix INSTALL.md due to failure of conflict resolving (#3915)
+- Back out "Add example of how to build, link, and test an external SWIG module" (#3954)
+- Fix shadowed variable in faiss/IndexPQ.cpp (#3959)
+- Fix shadowed variable in faiss/IndexIVFAdditiveQuantizer.cpp (#3958)
+- Fix shadowed variable in faiss/impl/HNSW.cpp (#3961)
+- Fix shadowed variable in faiss/impl/simd_result_handlers.h (#3960)
+- Fix shadowed variable in faiss/utils/NeuralNet.cpp (#3952)
+- Resolve "incorrect-portions-license" errors: add no license lint to top of GPU files with both licenses (#3965)
+- Resolve "duplicate-license-header": Find and replace duplicate license headers (#3967)
+- fix some more nvidia licenses that get erased (#3977)
+- fix merge_flat_ondisk stress run failures (#3999)
+- Fix reverse_index_factory formatting of ScalarQuantizers (#4003)
+- Fix shadowed variable in faiss/IndexAdditiveQuantizer.cpp (#4011)
+- facebook-unused-include-check in fbcode/faiss (#4029)
+- fix linter (#4035)
+- Some chore fixes (#4010)
+- Fix unused variable compilation error (#4041)
+- stop dealloc of coarse quantizer when it is deleted (#4045)
+- Fix SCD Table test flakiness (#4069)
+- Fix IndexIVFFastScan reconstruct_from_offset method (#4095)
+- more fast-scan reconstruction (#4128)
+- Fix nightly cuVS 11.8.0 failure (#4149)
+- Correct capitalization of FAISS to Faiss (#4155)
+- Fix cuVS 12.4.0 nightly failure (#4153)
+
+Deprecated
+- Remove unused-variable in dumbo/backup/dumbo/service/tests/ChainReplicatorTests.cpp (#4024)
+- remove inconsistent oom exception test (#4052)
+- Remove unused(and wrong) io macro (#4122)
+
+
 ## [1.9.0] - 2024-10-04
 ### Added
 - Add AVX-512 implementation for the distance and scalar quantizer functions. (#3853)

CMakeLists.txt

@@ -47,7 +47,7 @@ rapids_cuda_init_architectures(faiss_c_library)
 endif()
 
 project(faiss
-  VERSION 1.9.0
+  VERSION 1.10.0
   DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
   HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
   LANGUAGES ${FAISS_LANGUAGES})

INSTALL.md

@@ -12,13 +12,13 @@ To install the latest stable release:
 
 ``` shell
 # CPU-only version
-$ conda install -c pytorch faiss-cpu=1.9.0
+$ conda install -c pytorch faiss-cpu=1.10.0
 
 # GPU(+CPU) version
-$ conda install -c pytorch -c nvidia faiss-gpu=1.9.0
+$ conda install -c pytorch -c nvidia faiss-gpu=1.10.0
 
 # GPU(+CPU) version with NVIDIA RAFT
-$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.9.0
+$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge faiss-gpu-raft=1.10.0
 
 # GPU(+CPU) version using AMD ROCm not yet available
 ```
@@ -34,7 +34,7 @@ Nightly pre-release packages can be installed as follows:
 $ conda install -c pytorch/label/nightly faiss-cpu
 
 # GPU(+CPU) version
-$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.9.0
+$ conda install -c pytorch/label/nightly -c nvidia faiss-gpu=1.10.0
 
 # GPU(+CPU) version with NVIDIA cuVS (package built with CUDA 12.4)
 conda install -c pytorch -c rapidsai -c conda-forge -c nvidia pytorch/label/nightly::faiss-gpu-cuvs 'cuda-version>=12.0,<=12.5'

faiss/Index.h

@@ -17,7 +17,7 @@
 #include <typeinfo>
 
 #define FAISS_VERSION_MAJOR 1
-#define FAISS_VERSION_MINOR 9
+#define FAISS_VERSION_MINOR 10
 #define FAISS_VERSION_PATCH 0
 
 // Macro to combine the version components into a single string

faiss/python/setup.py

@@ -44,7 +44,12 @@
 )
 
 assert (
-    found_swigfaiss_generic or found_swigfaiss_avx2 or found_swigfaiss_avx512 or found_swigfaiss_avx512_spr or found_swigfaiss_sve or found_faiss_example_external_module_lib
+    found_swigfaiss_generic
+    or found_swigfaiss_avx2
+    or found_swigfaiss_avx512
+    or found_swigfaiss_avx512_spr
+    or found_swigfaiss_sve
+    or found_faiss_example_external_module_lib
 ), (
     f"Could not find {swigfaiss_generic_lib} or "
     f"{swigfaiss_avx2_lib} or {swigfaiss_avx512_lib} or {swigfaiss_avx512_spr_lib} or {swigfaiss_sve_lib} or {faiss_example_external_module_lib}. "
@@ -100,12 +105,12 @@
 """
 setup(
     name="faiss",
-    version="1.9.0",
+    version="1.10.0",
     description="A library for efficient similarity search and clustering of dense vectors",
     long_description=long_description,
     url="https://github.com/facebookresearch/faiss",
     author="Matthijs Douze, Jeff Johnson, Herve Jegou, Lucas Hosseini",
-    author_email="matthijs@meta.com",
+    author_email="faiss@meta.com",
     license="MIT",
     keywords="search nearest neighbors",
     install_requires=["numpy", "packaging"],