Merge branch 'main' into eglaser/svs-static-vamana

Author: ethanglaser

.github/workflows/build-pip.yml

@@ -57,6 +57,8 @@ jobs:
 
       - name: Publish to PyPI
         uses: pypa/gh-action-pypi-publish@76f52bc884231f62b9a034ebfe128415bbaabdfc  # release/v1
+        with:
+          verbose: true
 
   publish-testpypi:
     name: Publish to TestPyPI

.github/workflows/index-io-backward-compatibility.yml

@@ -52,7 +52,7 @@ jobs:
           eval "$(conda shell.bash hook)"
           conda create -n faiss_conda_read -y python=3.12
           conda activate faiss_conda_read
-          conda install -y -c pytorch -c conda-forge faiss-cpu=1.14.1 "mkl>=2024.2.2,<2026"
+          conda install -y -c pytorch -c conda-forge faiss-cpu=1.14.2 "mkl>=2024.2.2,<2026"
           conda list
 
       - name: Run Conda reader (read Faiss index and verify)
@@ -89,7 +89,7 @@ jobs:
           eval "$(conda shell.bash hook)"
           conda create -n faiss_conda_write -y python=3.12
           conda activate faiss_conda_write
-          conda install -y -c pytorch -c conda-forge faiss-cpu=1.14.1 "mkl>=2024.2.2,<2026"
+          conda install -y -c pytorch -c conda-forge faiss-cpu=1.14.2 "mkl>=2024.2.2,<2026"
           conda list
 
       - name: Create shared data directory

CHANGELOG.md

@@ -51,7 +51,7 @@ if(FAISS_ENABLE_CUVS)
 endif()
 
 project(faiss
-  VERSION 1.14.1
+  VERSION 1.14.2
   DESCRIPTION "A library for efficient similarity search and clustering of dense vectors."
   HOMEPAGE_URL "https://github.com/facebookresearch/faiss"
   LANGUAGES ${FAISS_LANGUAGES})

CMakeLists.txt

@@ -12,13 +12,13 @@ To install the latest stable release:
 
 ``` shell
 # CPU-only version
-$ conda install -c pytorch -c conda-forge faiss-cpu=1.14.1
+$ conda install -c pytorch -c conda-forge faiss-cpu=1.14.2
 
 # GPU(+CPU) version
-$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.14.1
+$ conda install -c pytorch -c nvidia -c conda-forge faiss-gpu=1.14.2
 
 # GPU(+CPU) version with NVIDIA cuVS
-$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.14.1
+$ conda install -c pytorch -c nvidia -c rapidsai -c conda-forge libnvjitlink faiss-gpu-cuvs=1.14.2
 
 # GPU(+CPU) version using AMD ROCm not yet available
 ```
@@ -34,15 +34,15 @@ If you prefer [Pixi](https://pixi.sh/latest/), you can use the same channels and
 ``` shell
 # CPU-only version
 $ pixi init -c pytorch -c conda-forge
-$ pixi add faiss-cpu=1.14.1
+$ pixi add faiss-cpu=1.14.2
 
 # GPU(+CPU) version
 $ pixi init -c pytorch -c nvidia -c conda-forge
-$ pixi add faiss-gpu=1.14.1
+$ pixi add faiss-gpu=1.14.2
 
 # GPU(+CPU) version with NVIDIA cuVS
 $ pixi init -c pytorch -c nvidia -c rapidsai -c conda-forge
-$ pixi add libnvjitlink faiss-gpu-cuvs=1.14.1
+$ pixi add libnvjitlink faiss-gpu-cuvs=1.14.2
 ```
 
 Pixi resolves packages from the listed Conda channels, so the same channel requirements described above still apply.
@@ -54,7 +54,7 @@ Nightly pre-release packages can be installed as follows:
 $ conda install -c pytorch/label/nightly -c conda-forge faiss-cpu
 
 # GPU(+CPU) version
-$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.14.1
+$ conda install -c pytorch/label/nightly -c nvidia -c conda-forge faiss-gpu=1.14.2
 
 # GPU(+CPU) version with NVIDIA cuVS (package built with CUDA 13.2)
 conda install -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia pytorch/label/nightly::faiss-gpu-cuvs 'cuda-version=13.2'

INSTALL.md

@@ -17,7 +17,7 @@
 
 #define FAISS_VERSION_MAJOR 1
 #define FAISS_VERSION_MINOR 14
-#define FAISS_VERSION_PATCH 1
+#define FAISS_VERSION_PATCH 2
 
 // Macro to combine the version components into a single string
 #ifndef FAISS_STRINGIFY

faiss/Index.h

@@ -114,7 +114,7 @@
 """
 setup(
     name="faiss",
-    version="1.14.1",
+    version="1.14.2",
     description="A library for efficient similarity search and clustering of dense vectors",
     long_description=long_description,
     long_description_content_type="text/plain",