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MetaIndexes.h
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MetaIndexes.h
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/**
* Copyright (c) 2015-present, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under the BSD+Patents license found in the
* LICENSE file in the root directory of this source tree.
*/
// -*- c++ -*-
#ifndef META_INDEXES_H
#define META_INDEXES_H
#include <vector>
#include <unordered_map>
#include "Index.h"
namespace faiss {
/** Index that translates search results to ids */
struct IndexIDMap : Index {
Index * index; ///! the sub-index
bool own_fields; ///! whether pointers are deleted in destructo
std::vector<long> id_map;
explicit IndexIDMap (Index *index);
/// Same as add_core, but stores xids instead of sequential ids
/// @param xids if non-null, ids to store for the vectors (size n)
void add_with_ids(idx_t n, const float* x, const long* xids) override;
/// this will fail. Use add_with_ids
void add(idx_t n, const float* x) override;
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
void train(idx_t n, const float* x) override;
void reset() override;
/// remove ids adapted to IndexFlat
long remove_ids(const IDSelector& sel) override;
void range_search (idx_t n, const float *x, float radius,
RangeSearchResult *result) const override;
~IndexIDMap() override;
IndexIDMap () {own_fields=false; index=nullptr; }
};
/** same as IndexIDMap but also provides an efficient reconstruction
implementation via a 2-way index */
struct IndexIDMap2 : IndexIDMap {
std::unordered_map<idx_t, idx_t> rev_map;
explicit IndexIDMap2 (Index *index);
/// make the rev_map from scratch
void construct_rev_map ();
void add_with_ids(idx_t n, const float* x, const long* xids) override;
long remove_ids(const IDSelector& sel) override;
void reconstruct (idx_t key, float * recons) const override;
~IndexIDMap2() override {}
IndexIDMap2 () {}
};
/** Index that concatenates the results from several sub-indexes
*
*/
struct IndexShards : Index {
std::vector<Index*> shard_indexes;
bool own_fields; /// should the sub-indexes be deleted along with this?
bool threaded;
bool successive_ids;
/**
* @param threaded do we use one thread per sub_index or do
* queries sequentially?
* @param successive_ids should we shift the returned ids by
* the size of each sub-index or return them
* as they are?
*/
explicit IndexShards (idx_t d, bool threaded = false,
bool successive_ids = true);
void add_shard (Index *);
// update metric_type and ntotal. Call if you changes something in
// the shard indexes.
void sync_with_shard_indexes ();
Index *at(int i) {return shard_indexes[i]; }
/// supported only for sub-indices that implement add_with_ids
void add(idx_t n, const float* x) override;
/**
* Cases (successive_ids, xids):
* - true, non-NULL ERROR: it makes no sense to pass in ids and
* request them to be shifted
* - true, NULL OK, but should be called only once (calls add()
* on sub-indexes).
* - false, non-NULL OK: will call add_with_ids with passed in xids
* distributed evenly over shards
* - false, NULL OK: will call add_with_ids on each sub-index,
* starting at ntotal
*/
void add_with_ids(idx_t n, const float* x, const long* xids) override;
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
void train(idx_t n, const float* x) override;
void reset() override;
~IndexShards() override;
};
/** splits input vectors in segments and assigns each segment to a sub-index
* used to distribute a MultiIndexQuantizer
*/
struct IndexSplitVectors: Index {
bool own_fields;
bool threaded;
std::vector<Index*> sub_indexes;
idx_t sum_d; /// sum of dimensions seen so far
explicit IndexSplitVectors (idx_t d, bool threaded = false);
void add_sub_index (Index *);
void sync_with_sub_indexes ();
void add(idx_t n, const float* x) override;
void search(
idx_t n,
const float* x,
idx_t k,
float* distances,
idx_t* labels) const override;
void train(idx_t n, const float* x) override;
void reset() override;
~IndexSplitVectors() override;
};
} // namespace faiss
#endif