#include <IndexPQ.h>
Public Member Functions | |
MultiIndexQuantizer2 (int d, size_t M, size_t nbits, Index **indexes) | |
MultiIndexQuantizer2 (int d, size_t nbits, Index *assign_index_0, Index *assign_index_1) | |
void | train (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 |
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MultiIndexQuantizer (int d, size_t M, size_t nbits) | |
number of bit per subvector index More... | |
void | add (idx_t n, const float *x) override |
add and reset will crash at runtime | |
void | reset () override |
removes all elements from the database. | |
void | reconstruct (idx_t key, float *recons) const override |
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Index (idx_t d=0, MetricType metric=METRIC_L2) | |
virtual void | add_with_ids (idx_t n, const float *x, const long *xids) |
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) |
virtual long | remove_ids (const IDSelector &sel) |
virtual void | reconstruct_n (idx_t i0, idx_t ni, float *recons) const |
virtual void | search_and_reconstruct (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels, float *recons) const |
void | compute_residual (const float *x, float *residual, idx_t key) const |
void | display () const |
Public Attributes | |
std::vector< Index * > | assign_indexes |
M Indexes on d / M dimensions. | |
bool | own_fields |
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ProductQuantizer | pq |
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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 | |
Additional Inherited Members | |
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using | idx_t = long |
all indices are this type | |
using | component_t = float |
using | distance_t = float |
MultiIndexQuantizer where the PQ assignmnet is performed by sub-indexes
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overridevirtual |
query n vectors of dimension d to the index.
return at most k vectors. If there are not enough results for a query, the result array is padded with -1s.
x | input vectors to search, size n * d |
labels | output labels of the NNs, size n*k |
distances | output pairwise distances, size n*k |
Reimplemented from faiss::MultiIndexQuantizer.
Definition at line 1020 of file IndexPQ.cpp.
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overridevirtual |
Perform training on a representative set of vectors
n | nb of training vectors |
x | training vecors, size n * d |
Reimplemented from faiss::MultiIndexQuantizer.
Definition at line 1010 of file IndexPQ.cpp.