#include <IndexScalarQuantizer.h>
Public Member Functions | |
IndexIVFScalarQuantizer (Index *quantizer, size_t d, size_t nlist, ScalarQuantizer::QuantizerType qtype, MetricType metric=METRIC_L2) | |
void | train_residual (idx_t n, const float *x) override |
void | add_with_ids (idx_t n, const float *x, const long *xids) override |
void | search_preassigned (idx_t n, const float *x, idx_t k, const idx_t *assign, const float *centroid_dis, float *distances, idx_t *labels, bool store_pairs) const override |
void | reconstruct_from_offset (long list_no, long offset, float *recons) const override |
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IndexIVF (Index *quantizer, size_t d, size_t nlist, size_t code_size, MetricType metric=METRIC_L2) | |
void | reset () override |
removes all elements from the database. | |
void | train (idx_t n, const float *x) override |
Trains the quantizer and calls train_residual to train sub-quantizers. | |
void | add (idx_t n, const float *x) override |
Quantizes x and calls add_with_key. | |
virtual void | search (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override |
void | reconstruct (idx_t key, float *recons) const override |
void | reconstruct_n (idx_t i0, idx_t ni, float *recons) const override |
void | search_and_reconstruct (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels, float *recons) const override |
long | remove_ids (const IDSelector &sel) override |
Dataset manipulation functions. | |
virtual void | merge_from (IndexIVF &other, idx_t add_id) |
virtual void | copy_subset_to (IndexIVF &other, int subset_type, long a1, long a2) const |
size_t | get_list_size (size_t list_no) const |
void | make_direct_map (bool new_maintain_direct_map=true) |
double | imbalance_factor () const |
1= perfectly balanced, >1: imbalanced | |
void | print_stats () const |
display some stats about the inverted lists | |
void | replace_invlists (InvertedLists *il, bool own=false) |
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Index (idx_t d=0, MetricType metric=METRIC_L2) | |
virtual void | range_search (idx_t n, const float *x, float radius, RangeSearchResult *result) const |
void | assign (idx_t n, const float *x, idx_t *labels, idx_t k=1) |
void | compute_residual (const float *x, float *residual, idx_t key) const |
void | display () const |
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void | train_q1 (size_t n, const float *x, bool verbose, MetricType metric_type) |
Trains the quantizer and calls train_residual to train sub-quantizers. | |
Level1Quantizer (Index *quantizer, size_t nlist) | |
Public Attributes | |
ScalarQuantizer | sq |
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InvertedLists * | invlists |
Acess to the actual data. | |
bool | own_invlists |
size_t | code_size |
code size per vector in bytes | |
size_t | nprobe |
number of probes at query time | |
size_t | max_codes |
max nb of codes to visit to do a query | |
bool | maintain_direct_map |
map for direct access to the elements. Enables reconstruct(). | |
std::vector< long > | direct_map |
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int | d |
vector dimension | |
idx_t | ntotal |
total nb of indexed vectors | |
bool | verbose |
verbosity level | |
bool | is_trained |
set if the Index does not require training, or if training is done already | |
MetricType | metric_type |
type of metric this index uses for search | |
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Index * | quantizer |
quantizer that maps vectors to inverted lists | |
size_t | nlist |
number of possible key values | |
char | quantizer_trains_alone |
bool | own_fields |
whether object owns the quantizer | |
ClusteringParameters | cp |
to override default clustering params | |
Index * | clustering_index |
to override index used during clustering | |
Additional Inherited Members | |
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typedef long | idx_t |
all indices are this type | |
An IVF implementation where the components of the residuals are encoded with a scalar uniform quantizer. All distance computations are asymmetric, so the encoded vectors are decoded and approximate distances are computed.
Definition at line 146 of file IndexScalarQuantizer.h.
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overridevirtual |
Same as add, but stores xids instead of sequential ids.
The default implementation fails with an assertion, as it is not supported by all indexes.
xids | if non-null, ids to store for the vectors (size n) |
Reimplemented from faiss::Index.
Definition at line 946 of file IndexScalarQuantizer.cpp.
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overridevirtual |
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.
Reimplemented from faiss::IndexIVF.
Definition at line 1116 of file IndexScalarQuantizer.cpp.
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overridevirtual |
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.
n | nb of vectors to query |
x | query vectors, size nx * d |
assign | coarse quantization indices, size nx * nprobe |
centroid_dis | distances to coarse centroids, size nx * nprobe |
distance | output distances, size n * k |
labels | output labels, size n * k |
store_pairs | store inv list index + inv list offset instead in upper/lower 32 bit of result, instead of ids (used for reranking). |
Implements faiss::IndexIVF.
Definition at line 1076 of file IndexScalarQuantizer.cpp.
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overridevirtual |
Sub-classes that encode the residuals can train their encoders here does nothing by default
Reimplemented from faiss::IndexIVF.
Definition at line 927 of file IndexScalarQuantizer.cpp.