Summary:
After initial positive feedback to the idea in https://github.com/facebookresearch/faiss/issues/1741 from mdouze, here are the patches
I currently have as a basis for discussion.
Matthijs suggests to not bother with the deprecation warnings at all, which is fine for me
as well, though I would normally still advocate to provide users with _some_ advance notice
before removing parts of an interface.
Fixes https://github.com/facebookresearch/faiss/issues/1741
PS. The deprecation warning is only shown once per session (per class)
PPS. I have tested in https://github.com/conda-forge/faiss-split-feedstock/pull/32 that the respective
classes remain available both through `import faiss` and `from faiss import *`.
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1742
Reviewed By: mdouze
Differential Revision: D26978886
Pulled By: beauby
fbshipit-source-id: b52e2b5b5b0117af7cd95ef5df3128e9914633ad
Summary:
Added a few functions in contrib to:
- run range searches by batches on the query or the database side
- emulate range search on GPU: search on GPU with k=1024, if the farthest neighbor is still within range, re-perform search on CPU
- as reference implementations for precision-recall on range search datasets
- optimized code to plot precision-recall plots (ie. sweep over thresholds)
The new functions are mainly in a new `evaluation.py`
Reviewed By: wickedfoo
Differential Revision: D25627619
fbshipit-source-id: 58f90654c32c925557d7bbf8083efbb710712e03
Bugfixes:
- slow scanning of inverted lists (#836).
Features:
- add basic support for 6 new metrics in CPU `IndexFlat` and `IndexHNSW` (#848);
- add support for `IndexIDMap`/`IndexIDMap2` with binary indexes (#780).
Misc:
- throw python exception for OOM (#758);
- make `DistanceComputer` available for all random access indexes;
- gradually moving from `long` to `int64_t` for portability.
H. Vetinari
Matthijs Douze
Lucas Hosseini
Lucas Hosseini