From d2f8d3514003986ec9ed37c9b29d70818ccf686a Mon Sep 17 00:00:00 2001 From: Cash Costello Date: Tue, 3 Mar 2026 18:34:34 -0800 Subject: [PATCH] removed conda-forge install documentation (#4843) Summary: The last build pushed to conda-forge was 1.9 in December 2024. Removing the instructions in INSTALL.md for now on using conda-forge to not be misleading. Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4843 Reviewed By: mnorris11 Differential Revision: D94739268 Pulled By: gtwang01 fbshipit-source-id: 7740161481f7f0fb3d099ec4bd54f964b009aadf --- INSTALL.md | 25 ------------------------- 1 file changed, 25 deletions(-) diff --git a/INSTALL.md b/INSTALL.md index 87cc22ba1..a15c007e8 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -52,31 +52,6 @@ conda activate faiss_1.8.0 conda install -c pytorch -c nvidia faiss-gpu=1.8.0 pytorch=*=*cuda* pytorch-cuda=11 numpy ``` -## Installing from conda-forge - -Faiss is also being packaged by [conda-forge](https://conda-forge.org/), the -community-driven packaging ecosystem for conda. The packaging effort is -collaborating with the Faiss team to ensure high-quality package builds. - -Due to the comprehensive infrastructure of conda-forge, it may even happen that -certain build combinations are supported in conda-forge that are not available -through the pytorch channel. To install, use - -``` shell -# CPU version -$ conda install -c conda-forge faiss-cpu - -# GPU version -$ conda install -c conda-forge faiss-gpu - -# NVIDIA cuVS and AMD ROCm version not yet available -``` - -You can tell which channel your conda packages come from by using `conda list`. -If you are having problems using a package built by conda-forge, please raise -an [issue](https://github.com/conda-forge/faiss-split-feedstock/issues) on the -conda-forge package "feedstock". - # Building from source Faiss can be built from source using CMake.