Prepare for v1.7.2 release. (#2151)

Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2151

Reviewed By: mdouze

Differential Revision: D33157463

Pulled By: beauby

fbshipit-source-id: 8f8580a7ad953484f41fbbb2d001f3484fab4c3d

CHANGELOG.md

@@ -9,6 +9,8 @@ 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]
+
+## [1.7.2] - 2021-12-15
 ### Added
 - Support LSQ on GPU (by @KinglittleQ)
 - Support for exact 1D kmeans (by @KinglittleQ)
@@ -204,7 +206,8 @@ by conda install -c pytorch faiss-gpu cudatoolkit=10.0.
 - C bindings.
 - Extended tutorial to GPU indices.
 
-[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.7.1...HEAD
+[Unreleased]: https://github.com/facebookresearch/faiss/compare/v1.7.2...HEAD
+[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
 [1.6.5]: https://github.com/facebookresearch/faiss/compare/v1.6.4...v1.6.5

faiss/Index.h

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

faiss/python/setup.py

@@ -49,7 +49,7 @@ are implemented on the GPU. It is developed by Facebook AI Research.
 """
 setup(
     name='faiss',
-    version='1.7.1',
+    version='1.7.2',
     description='A library for efficient similarity search and clustering of dense vectors',
     long_description=long_description,
     url='https://github.com/facebookresearch/faiss',