faiss

Commit Graph

Author	SHA1	Message	Date
Maria Lomeli	9590ad2746	PQ with pytorch (#4116 ) Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/4116 This diff implements Product Quantization using Pytorch only. Reviewed By: mdouze Differential Revision: D67766798 fbshipit-source-id: fe2d44a674fc2056f7e2082e9765052c98fdc8f8	2025-01-06 09:48:32 -08:00
Michael Norris	eff0898a13	Enable linting: lint config changes plus arc lint command (#3966 ) Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3966 This actually enables the linting. Manual changes: - tools/arcanist/lint/fbsource-licenselint-config.toml - tools/arcanist/lint/fbsource-lint-engine.toml Automated changes: `arc lint --apply-patches --take LICENSELINT --paths-cmd 'hg files faiss'` Reviewed By: asadoughi Differential Revision: D64484165 fbshipit-source-id: 4f2f6e953c94ef6ebfea8a5ae035ccfbea65ed04	2024-10-22 09:46:48 -07:00
Matthijs Douze	838612c9d7	torch.distributed kmeans (#3876 ) Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3876 Demo script for distributed kmeans. It provides a `DatasetAssign` object and shows how to run it with torch.distributed. Reviewed By: asadoughi, pankajsingh88 Differential Revision: D63013820 fbshipit-source-id: 22c959f3afdc04fd4aa8b9aeed309ea6290b1328	2024-09-20 09:15:27 -07:00
Matthijs Douze	6baebe2cee	begin torch_contrib (#3872 ) Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3872 The contrib.torch subdirectory is intended to receive modules in python that are useful for similarity search and that apply to CPU or GPU pytorch tensors. The current version includes CPU clustering on torch tensors. To be added: * implementation of PQ Reviewed By: asadoughi Differential Revision: D62759207 fbshipit-source-id: 87dbaa5083e3f2f4f60526815e22ded4e83e8559	2024-09-20 09:15:27 -07:00

4 Commits (main)