forked from facebookresearch/faiss
-
Notifications
You must be signed in to change notification settings - Fork 0
/
IndexFlat.h
176 lines (122 loc) · 4.24 KB
/
IndexFlat.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
/**
* 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 INDEX_FLAT_H
#define INDEX_FLAT_H
#include <vector>
#include <faiss/Index.h>
namespace faiss {
/** Index that stores the full vectors and performs exhaustive search */
struct IndexFlat: Index {
/// database vectors, size ntotal * d
std::vector<float> xb;
explicit IndexFlat (idx_t d, MetricType metric = METRIC_L2);
void add(idx_t n, const float* x) override;
void reset() override;
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
void range_search(
idx_t n,
const float* x,
float radius,
RangeSearchResult* result) const override;
void reconstruct(idx_t key, float* recons) const override;
/** compute distance with a subset of vectors
*
* @param x query vectors, size n * d
* @param labels indices of the vectors that should be compared
* for each query vector, size n * k
* @param distances
* corresponding output distances, size n * k
*/
void compute_distance_subset (
idx_t n,
const float *x,
idx_t k,
float *distances,
const idx_t *labels) const;
/** remove some ids. NB that Because of the structure of the
* indexing structure, the semantics of this operation are
* different from the usual ones: the new ids are shifted */
size_t remove_ids(const IDSelector& sel) override;
IndexFlat () {}
DistanceComputer * get_distance_computer() const override;
/* The stanadlone codec interface (just memcopies in this case) */
size_t sa_code_size () const override;
void sa_encode (idx_t n, const float *x,
uint8_t *bytes) const override;
void sa_decode (idx_t n, const uint8_t *bytes,
float *x) const override;
};
struct IndexFlatIP:IndexFlat {
explicit IndexFlatIP (idx_t d): IndexFlat (d, METRIC_INNER_PRODUCT) {}
IndexFlatIP () {}
};
struct IndexFlatL2:IndexFlat {
explicit IndexFlatL2 (idx_t d): IndexFlat (d, METRIC_L2) {}
IndexFlatL2 () {}
};
// same as an IndexFlatL2 but a value is subtracted from each distance
struct IndexFlatL2BaseShift: IndexFlatL2 {
std::vector<float> shift;
IndexFlatL2BaseShift (idx_t d, size_t nshift, const float *shift);
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
};
/** Index that queries in a base_index (a fast one) and refines the
* results with an exact search, hopefully improving the results.
*/
struct IndexRefineFlat: Index {
/// storage for full vectors
IndexFlat refine_index;
/// faster index to pre-select the vectors that should be filtered
Index *base_index;
bool own_fields; ///< should the base index be deallocated?
/// factor between k requested in search and the k requested from
/// the base_index (should be >= 1)
float k_factor;
explicit IndexRefineFlat (Index *base_index);
IndexRefineFlat ();
void train(idx_t n, const float* x) override;
void add(idx_t n, const float* x) override;
void reset() override;
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
~IndexRefineFlat() override;
};
/// optimized version for 1D "vectors".
struct IndexFlat1D:IndexFlatL2 {
bool continuous_update; ///< is the permutation updated continuously?
std::vector<idx_t> perm; ///< sorted database indices
explicit IndexFlat1D (bool continuous_update=true);
/// if not continuous_update, call this between the last add and
/// the first search
void update_permutation ();
void add(idx_t n, const float* x) override;
void reset() override;
/// Warn: the distances returned are L1 not L2
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
};
}
#endif