3 Commits

Author	SHA1	Message	Date
Bhavik Sheth	d296b2ce01	Prevent reordering of imports by auto formatter to avoid crashes (#3826) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3826 Apparently this is the generally accepted way to do this. https://usort.readthedocs.io/en/stable/guide.html#import-blocks What do you think? Reviewed By: kuarora, mengdilin Differential Revision: D62147522 fbshipit-source-id: b9cf034ff6119595956a3c46e7094a2a8b0cb2cc	2024-09-03 18:24:48 -07:00
Ramil Bakhshyiev	a5ad7148fc	Re-order imports in Python tests to avoid crashing (#3806) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3806 No explanation for why this works but importing faiss prior to torch causing Python to crash on certain test cases under pytest. This is a temporary workaround with a full RCA required. Reviewed By: pankajsingh88 Differential Revision: D61956515 fbshipit-source-id: d33992d0b92e87d58ddff1f160990cba487b9927	2024-08-29 01:06:34 -07:00
Matthijs Douze	dd72e4121d	QINCo implementation in CPU Faiss (#3608) ... Summary: Pull Request resolved: https://github.com/facebookresearch/faiss/pull/3608 This is a straightforward implementation of QINCo in CPU Faiss, with encoding and decoding capabilities (not training). For this, we translate a simplified version of some torch classes: - tensors, restricted to 2D and int32 + float32 - Linear and Embedding layer Then the QINCoStep and QINCo can just be defined as C++ objects that are copy-constructable. There is some plumbing required in the wrapping layers to support the integration. Pytroch tensors are converted to numpy for getting / setting them in C++. Reviewed By: asadoughi Differential Revision: D59132952 fbshipit-source-id: eea4856507a5b7c5f219efcf8d19fe56944df088	2024-07-11 02:40:38 -07:00