Prepare for v1.7.3 release (#2560)

Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2560

Reviewed By: mdouze

Differential Revision: D40947377

Pulled By: mlomeli1

fbshipit-source-id: b7c6f0ea85b5c3b2005e96af3d504edd137e42fc

CHANGELOG.md

@@ -10,6 +10,8 @@ the Facebook Faiss team.  Feel free to add entries here if you submit a PR.
 
 ## [Unreleased]
 
+## [1.7.3] - 2022-11-3
+### Added
 - Added sparse k-means routines and moved the generic kmeans to contrib
 - Added FlatDistanceComputer for all FlatCodes indexes
 - Support for fast accumulation of 4-bit LSQ and RQ
@@ -213,6 +215,7 @@ by conda install -c pytorch faiss-gpu cudatoolkit=10.0.
 - Extended tutorial to GPU indices.
 
 [Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.7.2...HEAD
+[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
 [1.7.1]: https://github.com/facebookresearch/faiss/compare/v1.7.0...v1.7.1
 [1.7.0]: https://github.com/facebookresearch/faiss/compare/v1.6.5...v1.7.0

CMakeLists.txt

@@ -7,7 +7,7 @@
 cmake_minimum_required(VERSION 3.17 FATAL_ERROR)
 
 project(faiss
-  VERSION 1.7.2
+  VERSION 1.7.3
   DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
   HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
   LANGUAGES CXX)

faiss/Index.h

@@ -18,7 +18,7 @@
 
 #define FAISS_VERSION_MAJOR 1
 #define FAISS_VERSION_MINOR 7
-#define FAISS_VERSION_PATCH 2
+#define FAISS_VERSION_PATCH 3
 
 /**
  * @namespace faiss

faiss/python/setup.py

@@ -53,7 +53,7 @@ are implemented on the GPU. It is developed by Facebook AI Research.
 """
 setup(
     name='faiss',
-    version='1.7.2',
+    version='1.7.3',
     description='A library for efficient similarity search and clustering of dense vectors',
     long_description=long_description,
     url='https://github.com/facebookresearch/faiss',