faiss/faiss/IndexBinaryIVF.h
Matthijs Douze 581760302f evaluation script + IVF block search (#2781)
Summary:
Pull Request resolved: https://github.com/facebookresearch/faiss/pull/2781

This is a benchmarking script for keypoint matching with labelled ground-truth.

Reviewed By: alexanderguzhva

Differential Revision: D44036091

fbshipit-source-id: d9d7c089c4d172b66f33dc968c00713a1b79c2d1
2023-03-24 13:54:08 -07:00

261 lines
8.2 KiB
C++

/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
// -*- c++ -*-
#ifndef FAISS_INDEX_BINARY_IVF_H
#define FAISS_INDEX_BINARY_IVF_H
#include <vector>
#include <faiss/Clustering.h>
#include <faiss/IndexBinary.h>
#include <faiss/IndexIVF.h>
#include <faiss/utils/Heap.h>
namespace faiss {
struct BinaryInvertedListScanner;
/** Index based on a inverted file (IVF)
*
* In the inverted file, the quantizer (an IndexBinary instance) provides a
* quantization index for each vector to be added. The quantization
* index maps to a list (aka inverted list or posting list), where the
* id of the vector is stored.
*
* Otherwise the object is similar to the IndexIVF
*/
struct IndexBinaryIVF : IndexBinary {
/// Access to the actual data
InvertedLists* invlists = nullptr;
bool own_invlists = true;
size_t nprobe = 1; ///< number of probes at query time
size_t max_codes = 0; ///< max nb of codes to visit to do a query
/** Select between using a heap or counting to select the k smallest values
* when scanning inverted lists.
*/
bool use_heap = true;
/** collect computations per batch */
bool per_invlist_search = false;
/// map for direct access to the elements. Enables reconstruct().
DirectMap direct_map;
/// quantizer that maps vectors to inverted lists
IndexBinary* quantizer = nullptr;
/// number of possible key values
size_t nlist = 0;
/// whether object owns the quantizer
bool own_fields = false;
ClusteringParameters cp; ///< to override default clustering params
/// to override index used during clustering
Index* clustering_index = nullptr;
/** The Inverted file takes a quantizer (an IndexBinary) on input,
* which implements the function mapping a vector to a list
* identifier. The pointer is borrowed: the quantizer should not
* be deleted while the IndexBinaryIVF is in use.
*/
IndexBinaryIVF(IndexBinary* quantizer, size_t d, size_t nlist);
IndexBinaryIVF();
~IndexBinaryIVF() override;
void reset() override;
/// Trains the quantizer
void train(idx_t n, const uint8_t* x) override;
void add(idx_t n, const uint8_t* x) override;
void add_with_ids(idx_t n, const uint8_t* x, const idx_t* xids) override;
/** Implementation of vector addition where the vector assignments are
* predefined.
*
* @param precomputed_idx quantization indices for the input vectors
* (size n)
*/
void add_core(
idx_t n,
const uint8_t* x,
const idx_t* xids,
const idx_t* precomputed_idx);
/** Search a set of vectors, that are pre-quantized by the IVF
* quantizer. Fill in the corresponding heaps with the query
* results. search() calls this.
*
* @param n nb of vectors to query
* @param x query vectors, size nx * d
* @param assign coarse quantization indices, size nx * nprobe
* @param centroid_dis
* distances to coarse centroids, size nx * nprobe
* @param distance
* output distances, size n * k
* @param labels output labels, size n * k
* @param store_pairs store inv list index + inv list offset
* instead in upper/lower 32 bit of result,
* instead of ids (used for reranking).
* @param params used to override the object's search parameters
*/
void search_preassigned(
idx_t n,
const uint8_t* x,
idx_t k,
const idx_t* assign,
const int32_t* centroid_dis,
int32_t* distances,
idx_t* labels,
bool store_pairs,
const IVFSearchParameters* params = nullptr) const;
virtual BinaryInvertedListScanner* get_InvertedListScanner(
bool store_pairs = false) const;
/** assign the vectors, then call search_preassign */
void search(
idx_t n,
const uint8_t* x,
idx_t k,
int32_t* distances,
idx_t* labels,
const SearchParameters* params = nullptr) const override;
void range_search(
idx_t n,
const uint8_t* x,
int radius,
RangeSearchResult* result,
const SearchParameters* params = nullptr) const override;
void range_search_preassigned(
idx_t n,
const uint8_t* x,
int radius,
const idx_t* assign,
const int32_t* centroid_dis,
RangeSearchResult* result) const;
void reconstruct(idx_t key, uint8_t* recons) const override;
/** Reconstruct a subset of the indexed vectors.
*
* Overrides default implementation to bypass reconstruct() which requires
* direct_map to be maintained.
*
* @param i0 first vector to reconstruct
* @param ni nb of vectors to reconstruct
* @param recons output array of reconstructed vectors, size ni * d / 8
*/
void reconstruct_n(idx_t i0, idx_t ni, uint8_t* recons) const override;
/** Similar to search, but also reconstructs the stored vectors (or an
* approximation in the case of lossy coding) for the search results.
*
* Overrides default implementation to avoid having to maintain direct_map
* and instead fetch the code offsets through the `store_pairs` flag in
* search_preassigned().
*
* @param recons reconstructed vectors size (n, k, d / 8)
*/
void search_and_reconstruct(
idx_t n,
const uint8_t* x,
idx_t k,
int32_t* distances,
idx_t* labels,
uint8_t* recons,
const SearchParameters* params = nullptr) const override;
/** Reconstruct a vector given the location in terms of (inv list index +
* inv list offset) instead of the id.
*
* Useful for reconstructing when the direct_map is not maintained and
* the inv list offset is computed by search_preassigned() with
* `store_pairs` set.
*/
virtual void reconstruct_from_offset(
idx_t list_no,
idx_t offset,
uint8_t* recons) const;
/// Dataset manipulation functions
size_t remove_ids(const IDSelector& sel) override;
void merge_from(IndexBinary& other, idx_t add_id) override;
void check_compatible_for_merge(
const IndexBinary& otherIndex) const override;
size_t get_list_size(size_t list_no) const {
return invlists->list_size(list_no);
}
/** initialize a direct map
*
* @param new_maintain_direct_map if true, create a direct map,
* else clear it
*/
void make_direct_map(bool new_maintain_direct_map = true);
void set_direct_map_type(DirectMap::Type type);
void replace_invlists(InvertedLists* il, bool own = false);
};
struct BinaryInvertedListScanner {
/// from now on we handle this query.
virtual void set_query(const uint8_t* query_vector) = 0;
/// following codes come from this inverted list
virtual void set_list(idx_t list_no, uint8_t coarse_dis) = 0;
/// compute a single query-to-code distance
virtual uint32_t distance_to_code(const uint8_t* code) const = 0;
/** compute the distances to codes. (distances, labels) should be
* organized as a min- or max-heap
*
* @param n number of codes to scan
* @param codes codes to scan (n * code_size)
* @param ids corresponding ids (ignored if store_pairs)
* @param distances heap distances (size k)
* @param labels heap labels (size k)
* @param k heap size
*/
virtual size_t scan_codes(
size_t n,
const uint8_t* codes,
const idx_t* ids,
int32_t* distances,
idx_t* labels,
size_t k) const = 0;
virtual void scan_codes_range(
size_t n,
const uint8_t* codes,
const idx_t* ids,
int radius,
RangeQueryResult& result) const = 0;
virtual ~BinaryInvertedListScanner() {}
};
} // namespace faiss
#endif // FAISS_INDEX_BINARY_IVF_H