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/data/users/matthijs/github_faiss/faiss/MetaIndexes.cpp
1 /**
2 * Copyright (c) 2015-present, Facebook, Inc.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD+Patents license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9 // Copyright 2004-present Facebook. All Rights Reserved
10 // -*- c++ -*-
11
12 #include "MetaIndexes.h"
13
14 #include <pthread.h>
15
16 #include <cstdio>
17
18 #include "FaissAssert.h"
19 #include "Heap.h"
20 #include "AuxIndexStructures.h"
21
22
23 namespace faiss {
24
25 /*****************************************************
26 * IndexIDMap implementation
27 *******************************************************/
28
29 IndexIDMap::IndexIDMap (Index *index):
30 index (index),
31 own_fields (false)
32 {
33 FAISS_THROW_IF_NOT_MSG (index->ntotal == 0, "index must be empty on input");
34 is_trained = index->is_trained;
35 metric_type = index->metric_type;
36 verbose = index->verbose;
37 d = index->d;
38 }
39
40 void IndexIDMap::add (idx_t, const float *)
41 {
42 FAISS_THROW_MSG ("add does not make sense with IndexIDMap, "
43 "use add_with_ids");
44 }
45
46
47 void IndexIDMap::train (idx_t n, const float *x)
48 {
49 index->train (n, x);
50 is_trained = index->is_trained;
51 }
52
53 void IndexIDMap::reset ()
54 {
55 index->reset ();
56 ntotal = 0;
57 }
58
59
60 void IndexIDMap::add_with_ids (idx_t n, const float * x, const long *xids)
61 {
62 index->add (n, x);
63 for (idx_t i = 0; i < n; i++)
64 id_map.push_back (xids[i]);
65 ntotal = index->ntotal;
66 }
67
68
69 void IndexIDMap::search (idx_t n, const float *x, idx_t k,
70 float *distances, idx_t *labels) const
71 {
72 index->search (n, x, k, distances, labels);
73 idx_t *li = labels;
74 for (idx_t i = 0; i < n * k; i++) {
75 li[i] = li[i] < 0 ? li[i] : id_map[li[i]];
76 }
77 }
78
79
80 void IndexIDMap::range_search (idx_t n, const float *x, float radius,
81 RangeSearchResult *result) const
82 {
83 index->range_search(n, x, radius, result);
84 for (idx_t i = 0; i < result->lims[result->nq]; i++) {
85 result->labels[i] = result->labels[i] < 0 ?
86 result->labels[i] : id_map[result->labels[i]];
87 }
88 }
89
90 namespace {
91
92 struct IDTranslatedSelector: IDSelector {
93 const std::vector <long> & id_map;
94 const IDSelector & sel;
95 IDTranslatedSelector (const std::vector <long> & id_map,
96 const IDSelector & sel):
97 id_map (id_map), sel (sel)
98 {}
99 bool is_member(idx_t id) const override {
100 return sel.is_member(id_map[id]);
101 }
102 };
103
104 }
105
106 long IndexIDMap::remove_ids (const IDSelector & sel)
107 {
108 // remove in sub-index first
109 IDTranslatedSelector sel2 (id_map, sel);
110 long nremove = index->remove_ids (sel2);
111
112 long j = 0;
113 for (idx_t i = 0; i < ntotal; i++) {
114 if (sel.is_member (id_map[i])) {
115 // remove
116 } else {
117 id_map[j] = id_map[i];
118 j++;
119 }
120 }
121 FAISS_ASSERT (j == index->ntotal);
122 ntotal = j;
123 id_map.resize(ntotal);
124 return nremove;
125 }
126
127
128
129
130 IndexIDMap::~IndexIDMap ()
131 {
132 if (own_fields) delete index;
133 }
134
135 /*****************************************************
136 * IndexIDMap2 implementation
137 *******************************************************/
138
139 IndexIDMap2::IndexIDMap2 (Index *index): IndexIDMap (index)
140 {}
141
142 void IndexIDMap2::add_with_ids(idx_t n, const float* x, const long* xids)
143 {
144 size_t prev_ntotal = ntotal;
145 IndexIDMap::add_with_ids (n, x, xids);
146 for (size_t i = prev_ntotal; i < ntotal; i++) {
147 rev_map [id_map [i]] = i;
148 }
149 }
150
151 void IndexIDMap2::construct_rev_map ()
152 {
153 rev_map.clear ();
154 for (size_t i = 0; i < ntotal; i++) {
155 rev_map [id_map [i]] = i;
156 }
157 }
158
159
160 long IndexIDMap2::remove_ids(const IDSelector& sel)
161 {
162 // This is quite inefficient
163 long nremove = IndexIDMap::remove_ids (sel);
164 construct_rev_map ();
165 return nremove;
166 }
167
168 void IndexIDMap2::reconstruct (idx_t key, float * recons) const
169 {
170 try {
171 index->reconstruct (rev_map.at (key), recons);
172 } catch (const std::out_of_range& e) {
173 FAISS_THROW_FMT ("key %ld not found", key);
174 }
175 }
176
177
178
179 /*****************************************************
180 * IndexShards implementation
181 *******************************************************/
182
183 // subroutines
184 namespace {
185
186
187 typedef Index::idx_t idx_t;
188
189
190 template<class Job>
191 struct Thread {
192 Job job;
193 pthread_t thread;
194
195 Thread () {}
196
197 explicit Thread (const Job & job): job(job) {}
198
199 void start () {
200 pthread_create (&thread, nullptr, run, this);
201 }
202
203 void wait () {
204 pthread_join (thread, nullptr);
205 }
206
207 static void * run (void *arg) {
208 static_cast<Thread*> (arg)->job.run();
209 return nullptr;
210 }
211
212 };
213
214
215 /// callback + thread management to train 1 shard
216 struct TrainJob {
217 IndexShards *index; // the relevant index
218 int no; // shard number
219 idx_t n; // train points
220 const float *x;
221
222 void run ()
223 {
224 if (index->verbose)
225 printf ("begin train shard %d on %ld points\n", no, n);
226 index->shard_indexes [no]->train(n, x);
227 if (index->verbose)
228 printf ("end train shard %d\n", no);
229 }
230
231 };
232
233 struct AddJob {
234 IndexShards *index; // the relevant index
235 int no; // shard number
236
237 idx_t n;
238 const float *x;
239 const idx_t *ids;
240
241 void run ()
242 {
243 if (index->verbose)
244 printf ("begin add shard %d on %ld points\n", no, n);
245 if (ids)
246 index->shard_indexes[no]->add_with_ids (n, x, ids);
247 else
248 index->shard_indexes[no]->add (n, x);
249 if (index->verbose)
250 printf ("end add shard %d on %ld points\n", no, n);
251 }
252 };
253
254
255
256 /// callback + thread management to query in 1 shard
257 struct QueryJob {
258 const IndexShards *index; // the relevant index
259 int no; // shard number
260
261 // query params
262 idx_t n;
263 const float *x;
264 idx_t k;
265 float *distances;
266 idx_t *labels;
267
268
269 void run ()
270 {
271 if (index->verbose)
272 printf ("begin query shard %d on %ld points\n", no, n);
273 index->shard_indexes [no]->search (n, x, k,
274 distances, labels);
275 if (index->verbose)
276 printf ("end query shard %d\n", no);
277 }
278
279
280 };
281
282
283
284
285 // add translation to all valid labels
286 void translate_labels (long n, idx_t *labels, long translation)
287 {
288 if (translation == 0) return;
289 for (long i = 0; i < n; i++) {
290 if(labels[i] < 0) return;
291 labels[i] += translation;
292 }
293 }
294
295
296 /** merge result tables from several shards.
297 * @param all_distances size nshard * n * k
298 * @param all_labels idem
299 * @param translartions label translations to apply, size nshard
300 */
301
302 template <class C>
303 void merge_tables (long n, long k, long nshard,
304 float *distances, idx_t *labels,
305 const float *all_distances,
306 idx_t *all_labels,
307 const long *translations)
308 {
309 if(k == 0) {
310 return;
311 }
312
313 long stride = n * k;
314 #pragma omp parallel
315 {
316 std::vector<int> buf (2 * nshard);
317 int * pointer = buf.data();
318 int * shard_ids = pointer + nshard;
319 std::vector<float> buf2 (nshard);
320 float * heap_vals = buf2.data();
321 #pragma omp for
322 for (long i = 0; i < n; i++) {
323 // the heap maps values to the shard where they are
324 // produced.
325 const float *D_in = all_distances + i * k;
326 const idx_t *I_in = all_labels + i * k;
327 int heap_size = 0;
328
329 for (long s = 0; s < nshard; s++) {
330 pointer[s] = 0;
331 if (I_in[stride * s] >= 0)
332 heap_push<C> (++heap_size, heap_vals, shard_ids,
333 D_in[stride * s], s);
334 }
335
336 float *D = distances + i * k;
337 idx_t *I = labels + i * k;
338
339 for (int j = 0; j < k; j++) {
340 if (heap_size == 0) {
341 I[j] = -1;
342 D[j] = C::neutral();
343 } else {
344 // pop best element
345 int s = shard_ids[0];
346 int & p = pointer[s];
347 D[j] = heap_vals[0];
348 I[j] = I_in[stride * s + p] + translations[s];
349
350 heap_pop<C> (heap_size--, heap_vals, shard_ids);
351 p++;
352 if (p < k && I_in[stride * s + p] >= 0)
353 heap_push<C> (++heap_size, heap_vals, shard_ids,
354 D_in[stride * s + p], s);
355 }
356 }
357 }
358 }
359 }
360
361
362 };
363
364
365
366
367 IndexShards::IndexShards (idx_t d, bool threaded, bool successive_ids):
368 Index (d), own_fields (false),
369 threaded (threaded), successive_ids (successive_ids)
370 {
371
372 }
373
374 void IndexShards::add_shard (Index *idx)
375 {
376 shard_indexes.push_back (idx);
377 sync_with_shard_indexes ();
378 }
379
380 void IndexShards::sync_with_shard_indexes ()
381 {
382 if (shard_indexes.empty()) return;
383 Index * index0 = shard_indexes[0];
384 d = index0->d;
385 metric_type = index0->metric_type;
386 is_trained = index0->is_trained;
387 ntotal = index0->ntotal;
388 for (int i = 1; i < shard_indexes.size(); i++) {
389 Index * index = shard_indexes[i];
390 FAISS_THROW_IF_NOT (metric_type == index->metric_type);
391 FAISS_THROW_IF_NOT (d == index->d);
392 ntotal += index->ntotal;
393 }
394 }
395
396
397 void IndexShards::train (idx_t n, const float *x)
398 {
399
400 // pre-alloc because we don't want reallocs
401 std::vector<Thread<TrainJob > > tss (shard_indexes.size());
402 int nt = 0;
403 for (int i = 0; i < shard_indexes.size(); i++) {
404 if(!shard_indexes[i]->is_trained) {
405 TrainJob ts = {this, i, n, x};
406 if (threaded) {
407 tss[nt] = Thread<TrainJob> (ts);
408 tss[nt++].start();
409 } else {
410 ts.run();
411 }
412 }
413 }
414 for (int i = 0; i < nt; i++) {
415 tss[i].wait();
416 }
417 sync_with_shard_indexes ();
418 }
419
420 void IndexShards::add (idx_t n, const float *x)
421 {
422 add_with_ids (n, x, nullptr);
423 }
424
425 /**
426 * Cases (successive_ids, xids):
427 * - true, non-NULL ERROR: it makes no sense to pass in ids and
428 * request them to be shifted
429 * - true, NULL OK, but should be called only once (calls add()
430 * on sub-indexes).
431 * - false, non-NULL OK: will call add_with_ids with passed in xids
432 * distributed evenly over shards
433 * - false, NULL OK: will call add_with_ids on each sub-index,
434 * starting at ntotal
435 */
436
437 void IndexShards::add_with_ids (idx_t n, const float * x, const long *xids)
438 {
439
440 FAISS_THROW_IF_NOT_MSG(!(successive_ids && xids),
441 "It makes no sense to pass in ids and "
442 "request them to be shifted");
443
444 if (successive_ids) {
445 FAISS_THROW_IF_NOT_MSG(!xids,
446 "It makes no sense to pass in ids and "
447 "request them to be shifted");
448 FAISS_THROW_IF_NOT_MSG(ntotal == 0,
449 "when adding to IndexShards with sucessive_ids, "
450 "only add() in a single pass is supported");
451 }
452
453 long nshard = shard_indexes.size();
454 const long *ids = xids;
455 ScopeDeleter<long> del;
456 if (!ids && !successive_ids) {
457 long *aids = new long[n];
458 for (long i = 0; i < n; i++)
459 aids[i] = ntotal + i;
460 ids = aids;
461 del.set (ids);
462 }
463
464 std::vector<Thread<AddJob > > asa (shard_indexes.size());
465 int nt = 0;
466 for (int i = 0; i < nshard; i++) {
467 long i0 = i * n / nshard;
468 long i1 = (i + 1) * n / nshard;
469
470 AddJob as = {this, i,
471 i1 - i0, x + i0 * d,
472 ids ? ids + i0 : nullptr};
473 if (threaded) {
474 asa[nt] = Thread<AddJob>(as);
475 asa[nt++].start();
476 } else {
477 as.run();
478 }
479 }
480 for (int i = 0; i < nt; i++) {
481 asa[i].wait();
482 }
483 ntotal += n;
484 }
485
486
487
488
489
490 void IndexShards::reset ()
491 {
492 for (int i = 0; i < shard_indexes.size(); i++) {
493 shard_indexes[i]->reset ();
494 }
495 sync_with_shard_indexes ();
496 }
497
498 void IndexShards::search (
499 idx_t n, const float *x, idx_t k,
500 float *distances, idx_t *labels) const
501 {
502 long nshard = shard_indexes.size();
503 float *all_distances = new float [nshard * k * n];
504 idx_t *all_labels = new idx_t [nshard * k * n];
505 ScopeDeleter<float> del (all_distances);
506 ScopeDeleter<idx_t> del2 (all_labels);
507
508 #if 1
509
510 // pre-alloc because we don't want reallocs
511 std::vector<Thread<QueryJob> > qss (nshard);
512 for (int i = 0; i < nshard; i++) {
513 QueryJob qs = {
514 this, i, n, x, k,
515 all_distances + i * k * n,
516 all_labels + i * k * n
517 };
518 if (threaded) {
519 qss[i] = Thread<QueryJob> (qs);
520 qss[i].start();
521 } else {
522 qs.run();
523 }
524 }
525
526 if (threaded) {
527 for (int i = 0; i < qss.size(); i++) {
528 qss[i].wait();
529 }
530 }
531 #else
532
533 // pre-alloc because we don't want reallocs
534 std::vector<QueryJob> qss (nshard);
535 for (int i = 0; i < nshard; i++) {
536 QueryJob qs = {
537 this, i, n, x, k,
538 all_distances + i * k * n,
539 all_labels + i * k * n
540 };
541 if (threaded) {
542 qss[i] = qs;
543 } else {
544 qs.run();
545 }
546 }
547
548 if (threaded) {
549 #pragma omp parallel for
550 for (int i = 0; i < qss.size(); i++) {
551 qss[i].run();
552 }
553 }
554
555 #endif
556 std::vector<long> translations (nshard, 0);
557 if (successive_ids) {
558 translations[0] = 0;
559 for (int s = 0; s + 1 < nshard; s++)
560 translations [s + 1] = translations [s] +
561 shard_indexes [s]->ntotal;
562 }
563
564 if (metric_type == METRIC_L2) {
565 merge_tables< CMin<float, int> > (
566 n, k, nshard, distances, labels,
567 all_distances, all_labels, translations.data ());
568 } else {
569 merge_tables< CMax<float, int> > (
570 n, k, nshard, distances, labels,
571 all_distances, all_labels, translations.data ());
572 }
573
574 }
575
576
577
578 IndexShards::~IndexShards ()
579 {
580 if (own_fields) {
581 for (int s = 0; s < shard_indexes.size(); s++)
582 delete shard_indexes [s];
583 }
584 }
585
586
587 /*****************************************************
588 * IndexSplitVectors implementation
589 *******************************************************/
590
591
592 IndexSplitVectors::IndexSplitVectors (idx_t d, bool threaded):
593 Index (d), own_fields (false),
594 threaded (threaded), sum_d (0)
595 {
596
597 }
598
599 void IndexSplitVectors::add_sub_index (Index *index)
600 {
601 sub_indexes.push_back (index);
602 sync_with_sub_indexes ();
603 }
604
605 void IndexSplitVectors::sync_with_sub_indexes ()
606 {
607 if (sub_indexes.empty()) return;
608 Index * index0 = sub_indexes[0];
609 sum_d = index0->d;
610 metric_type = index0->metric_type;
611 is_trained = index0->is_trained;
612 ntotal = index0->ntotal;
613 for (int i = 1; i < sub_indexes.size(); i++) {
614 Index * index = sub_indexes[i];
615 FAISS_THROW_IF_NOT (metric_type == index->metric_type);
616 FAISS_THROW_IF_NOT (ntotal == index->ntotal);
617 sum_d += index->d;
618 }
619
620 }
621
622 void IndexSplitVectors::add(idx_t /*n*/, const float* /*x*/) {
623 FAISS_THROW_MSG("not implemented");
624 }
625
626 namespace {
627
628 /// callback + thread management to query in 1 shard
629 struct SplitQueryJob {
630 const IndexSplitVectors *index; // the relevant index
631 int no; // shard number
632
633 // query params
634 idx_t n;
635 const float *x;
636 idx_t k;
637 float *distances;
638 idx_t *labels;
639
640
641 void run ()
642 {
643 if (index->verbose)
644 printf ("begin query shard %d on %ld points\n", no, n);
645 const Index * sub_index = index->sub_indexes[no];
646 long sub_d = sub_index->d, d = index->d;
647 idx_t ofs = 0;
648 for (int i = 0; i < no; i++) ofs += index->sub_indexes[i]->d;
649 float *sub_x = new float [sub_d * n];
650 ScopeDeleter<float> del (sub_x);
651 for (idx_t i = 0; i < n; i++)
652 memcpy (sub_x + i * sub_d, x + ofs + i * d, sub_d * sizeof (sub_x));
653 sub_index->search (n, sub_x, k, distances, labels);
654 if (index->verbose)
655 printf ("end query shard %d\n", no);
656 }
657
658 };
659
660
661
662 }
663
664
665
666 void IndexSplitVectors::search (
667 idx_t n, const float *x, idx_t k,
668 float *distances, idx_t *labels) const
669 {
670 FAISS_THROW_IF_NOT_MSG (k == 1,
671 "search implemented only for k=1");
672 FAISS_THROW_IF_NOT_MSG (sum_d == d,
673 "not enough indexes compared to # dimensions");
674
675 long nshard = sub_indexes.size();
676 float *all_distances = new float [nshard * k * n];
677 idx_t *all_labels = new idx_t [nshard * k * n];
678 ScopeDeleter<float> del (all_distances);
679 ScopeDeleter<idx_t> del2 (all_labels);
680
681 // pre-alloc because we don't want reallocs
682 std::vector<Thread<SplitQueryJob> > qss (nshard);
683 for (int i = 0; i < nshard; i++) {
684 SplitQueryJob qs = {
685 this, i, n, x, k,
686 i == 0 ? distances : all_distances + i * k * n,
687 i == 0 ? labels : all_labels + i * k * n
688 };
689 if (threaded) {
690 qss[i] = Thread<SplitQueryJob> (qs);
691 qss[i].start();
692 } else {
693 qs.run();
694 }
695 }
696
697 if (threaded) {
698 for (int i = 0; i < qss.size(); i++) {
699 qss[i].wait();
700 }
701 }
702
703 long factor = 1;
704 for (int i = 0; i < nshard; i++) {
705 if (i > 0) { // results of 0 are already in the table
706 const float *distances_i = all_distances + i * k * n;
707 const idx_t *labels_i = all_labels + i * k * n;
708 for (long j = 0; j < n; j++) {
709 if (labels[j] >= 0 && labels_i[j] >= 0) {
710 labels[j] += labels_i[j] * factor;
711 distances[j] += distances_i[j];
712 } else {
713 labels[j] = -1;
714 distances[j] = 0.0 / 0.0;
715 }
716 }
717 }
718 factor *= sub_indexes[i]->ntotal;
719 }
720
721 }
722
723 void IndexSplitVectors::train(idx_t /*n*/, const float* /*x*/) {
724 FAISS_THROW_MSG("not implemented");
725 }
726
727 void IndexSplitVectors::reset ()
728 {
729 FAISS_THROW_MSG ("not implemented");
730 }
731
732
733 IndexSplitVectors::~IndexSplitVectors ()
734 {
735 if (own_fields) {
736 for (int s = 0; s < sub_indexes.size(); s++)
737 delete sub_indexes [s];
738 }
739 }
740
741
742
743
744
745
746 }; // namespace faiss
faiss::IndexShards::train
void train(idx_t n, const float *x) override
Definition: MetaIndexes.cpp:397
faiss::RangeSearchResult::nq
size_t nq
nb of queries
Definition: AuxIndexStructures.h:30
faiss::IndexShards::IndexShards
IndexShards(idx_t d, bool threaded=false, bool successive_ids=true)
Definition: MetaIndexes.cpp:367
faiss::Index::reset
virtual void reset()=0
removes all elements from the database.
faiss::IndexIDMap::search
void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override
Definition: MetaIndexes.cpp:69
faiss::IndexShards::add_with_ids
void add_with_ids(idx_t n, const float *x, const long *xids) override
Definition: MetaIndexes.cpp:437
faiss::IDSelector
Definition: AuxIndexStructures.h:52
faiss::IndexShards::search
void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override
Definition: MetaIndexes.cpp:498
faiss::IndexIDMap2::add_with_ids
void add_with_ids(idx_t n, const float *x, const long *xids) override
Definition: MetaIndexes.cpp:142
faiss::Index::train
virtual void train(idx_t n, const float *x)
Definition: Index.cpp:23
faiss::ScopeDeleter
Definition: FaissException.h:39
faiss::IndexSplitVectors::reset
void reset() override
removes all elements from the database.
Definition: MetaIndexes.cpp:727
faiss::IndexIDMap::add
void add(idx_t n, const float *x) override
this will fail. Use add_with_ids
Definition: MetaIndexes.cpp:40
faiss::IndexSplitVectors
Definition: MetaIndexes.h:134
faiss::Index::d
int d
vector dimension
Definition: Index.h:64
faiss::IndexIDMap::id_map
std::vector< long > id_map
! whether pointers are deleted in destructo
Definition: MetaIndexes.h:29
faiss::IndexIDMap::range_search
void range_search(idx_t n, const float *x, float radius, RangeSearchResult *result) const override
Definition: MetaIndexes.cpp:80
faiss::Index::add
virtual void add(idx_t n, const float *x)=0
faiss::IndexSplitVectors::train
void train(idx_t n, const float *x) override
Definition: MetaIndexes.cpp:723
faiss::IndexShards::add
void add(idx_t n, const float *x) override
supported only for sub-indices that implement add_with_ids
Definition: MetaIndexes.cpp:420
faiss::Index::idx_t
long idx_t
all indices are this type
Definition: Index.h:62
faiss::Index::ntotal
idx_t ntotal
total nb of indexed vectors
Definition: Index.h:65
faiss::IndexIDMap2::construct_rev_map
void construct_rev_map()
make the rev_map from scratch
Definition: MetaIndexes.cpp:151
faiss::Index::verbose
bool verbose
verbosity level
Definition: Index.h:66
faiss::IndexSplitVectors::add
void add(idx_t n, const float *x) override
Definition: MetaIndexes.cpp:622
faiss::Index::remove_ids
virtual long remove_ids(const IDSelector &sel)
Definition: Index.cpp:48
faiss::IndexIDMap2::remove_ids
long remove_ids(const IDSelector &sel) override
remove ids adapted to IndexFlat
Definition: MetaIndexes.cpp:160
faiss::IndexShards::threaded
bool threaded
should the sub-indexes be deleted along with this?
Definition: MetaIndexes.h:90
faiss::Index::search
virtual void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const =0
faiss::IndexShards::reset
void reset() override
removes all elements from the database.
Definition: MetaIndexes.cpp:490
faiss::RangeSearchResult
Definition: AuxIndexStructures.h:29
faiss::IndexIDMap::reset
void reset() override
removes all elements from the database.
Definition: MetaIndexes.cpp:53
faiss::IndexSplitVectors::search
void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override
Definition: MetaIndexes.cpp:666
faiss::IndexIDMap::remove_ids
long remove_ids(const IDSelector &sel) override
remove ids adapted to IndexFlat
Definition: MetaIndexes.cpp:106
faiss::Index::metric_type
MetricType metric_type
type of metric this index uses for search
Definition: Index.h:72
faiss::IndexIDMap2::reconstruct
void reconstruct(idx_t key, float *recons) const override
Definition: MetaIndexes.cpp:168
faiss::IndexIDMap::train
void train(idx_t n, const float *x) override
Definition: MetaIndexes.cpp:47
faiss::Index
Definition: Index.h:60
faiss::RangeSearchResult::lims
size_t * lims
size (nq + 1)
Definition: AuxIndexStructures.h:31
faiss::Index::range_search
virtual void range_search(idx_t n, const float *x, float radius, RangeSearchResult *result) const
Definition: Index.cpp:28
faiss::Index::is_trained
bool is_trained
set if the Index does not require training, or if training is done already
Definition: Index.h:69
faiss::Index::reconstruct
virtual void reconstruct(idx_t key, float *recons) const
Definition: Index.cpp:54
faiss::IndexIDMap::add_with_ids
void add_with_ids(idx_t n, const float *x, const long *xids) override
Definition: MetaIndexes.cpp:60
faiss::RangeSearchResult::labels
idx_t * labels
result for query i is labels[lims[i]:lims[i+1]]
Definition: AuxIndexStructures.h:35
faiss::IndexSplitVectors::IndexSplitVectors
IndexSplitVectors(idx_t d, bool threaded=false)
sum of dimensions seen so far
Definition: MetaIndexes.cpp:592
faiss::IndexIDMap::own_fields
bool own_fields
! the sub-index
Definition: MetaIndexes.h:28