3 Commits

Author	SHA1	Message	Date
Xiao Fu	bf8bd6b689	Delete all remaining print (#3452) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3452 Delete all remaining print within the Tests to improve the readability and effectiveness of the codebase. Reviewed By: junjieqi Differential Revision: D57466393 fbshipit-source-id: 6ebd66ae2e769894d810d4ba7a5f69fc865b797d	2024-05-16 19:51:07 -07:00
Denis Yaroshevskiy	45b16d23a1	faiss: use autovectorization for inner product (#2712) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2712 Using autovectorization to get the proper urnolling. Previous version timings are: Before ``` faiss_ip_10000 2.10us 475.62K faiss_n2_10000 4.23us 236.30K ``` After ``` faiss_ip_10000 1.21us 827.16K faiss_n2_10000 640.68ns 1.56M ``` Reviewed By: alexanderguzhva Differential Revision: D43353199 fbshipit-source-id: 8f73a34acd4b0368be6cdb05ba7a99a566c9ed83	2023-02-16 10:24:25 -08:00
Matthijs Douze	b8fe92dfee	contrib clustering module (#2217) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2217 This diff introduces a new Faiss contrib module that contains: - generic k-means implemented in python (was in distributed_ondisk) - the two-level clustering code, including a simple function that runs it on a Faiss IVF index. - sparse clustering code (new) The main idea is that that code is often re-used so better have it in contrib. Reviewed By: beauby Differential Revision: D34170932 fbshipit-source-id: cc297cc56d241b5ef421500ed410d8e2be0f1b77	2022-02-28 14:18:47 -08:00