Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2582
A few more or less cosmetic improvements
* Index::idx_t was in the Index object, which does not make much sense, this diff moves it to faiss::idx_t
* replace multiprocessing.dummy with multiprocessing.pool
* add Alexandr as a core contributor of Faiss in the README ;-)
```
for i in $( find . -name \*.cu -o -name \*.cuh -o -name \*.h -o -name \*.cpp ) ; do
sed -i s/Index::idx_t/idx_t/ $i
done
```
For the fbcode deps:
```
for i in $( fbgs Index::idx_t --exclude fbcode/faiss -l ) ; do
sed -i s/Index::idx_t/idx_t/ $i
done
```
Reviewed By: algoriddle
Differential Revision: D41437507
fbshipit-source-id: 8300f2a3ae97cace6172f3f14a9be3a83999fb89
Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/1972
This fixes a few issues that I ran into + adds tests:
- range_search_max_results with IP search
- a few missing downcasts for VectorTRansforms
- ResultHeap supports max IP search
Reviewed By: wickedfoo
Differential Revision: D29525093
fbshipit-source-id: d4ff0aff1d83af9717ff1aaa2fe3cda7b53019a3
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
