#include <IndexScalarQuantizer.h>

Inheritance diagram for faiss::IndexIVFScalarQuantizer:

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	encode_vectors (idx_t n, const float x, const idx_t list_nos, uint8_t *codes) const override

void	add_with_ids (idx_t n, const float x, const long xids) override
	default implementation that calls encode_vectors

InvertedListScanner *	get_InvertedListScanner (bool store_pairs) const override
	get a scanner for this index (store_pairs means ignore labels)

void	reconstruct_from_offset (long list_no, long offset, float *recons) const override

Public Member Functions inherited from faiss::IndexIVF
	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
	Calls add_with_ids with NULL ids.

virtual 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 IVFSearchParameters params=nullptr) const

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	range_search_preassigned (idx_t nx, const float x, float radius, const idx_t keys, const float coarse_dis, RangeSearchResult result) const

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

idx_t	remove_ids (const IDSelector &sel) override
	Dataset manipulation functions.

void	check_compatible_for_merge (const IndexIVF &other) const

virtual void	merge_from (IndexIVF &other, idx_t add_id)

virtual void	copy_subset_to (IndexIVF &other, int subset_type, idx_t a1, idx_t a2) const

size_t	get_list_size (size_t list_no) const

void	make_direct_map (bool new_maintain_direct_map=true)

void	replace_invlists (InvertedLists *il, bool own=false)
	replace the inverted lists, old one is deallocated if own_invlists

Public Member Functions inherited from faiss::Index
	Index (idx_t d=0, MetricType metric=METRIC_L2)

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

Public Member Functions inherited from faiss::Level1Quantizer
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

bool	by_residual

Public Attributes inherited from faiss::IndexIVF
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

int	parallel_mode

bool	maintain_direct_map
	map for direct access to the elements. Enables reconstruct().

std::vector< idx_t >	direct_map

Public Attributes inherited from faiss::Index
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

Public Attributes inherited from faiss::Level1Quantizer
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
Public Types inherited from faiss::Index
using	idx_t = long
	all indices are this type

using	component_t = float

using	distance_t = float

Detailed Description

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 141 of file IndexScalarQuantizer.h.

Member Function Documentation

void faiss::IndexIVFScalarQuantizer::encode_vectors	(	idx_t	n,
		const float *	x,
		const idx_t *	list_nos,
		uint8_t *	codes
	)		const

overridevirtual

Encodes a set of vectors as they would appear in the inverted lists

Parameters

list_nos	inverted list ids as returned by the quantizer (size n). -1s are ignored.
codes	output codes, size n * code_size

Implements faiss::IndexIVF.

Definition at line 1764 of file IndexScalarQuantizer.cpp.

void faiss::IndexIVFScalarQuantizer::reconstruct_from_offset	(	long	list_no,
		long	offset,
		float *	recons
	)		const

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 1850 of file IndexScalarQuantizer.cpp.

void faiss::IndexIVFScalarQuantizer::train_residual	(	idx_t	n,
		const float *	x
	)

overridevirtual

Sub-classes that encode the residuals can train their encoders here does nothing by default

Reimplemented from faiss::IndexIVF.

Definition at line 1735 of file IndexScalarQuantizer.cpp.

The documentation for this struct was generated from the following files:

/data/users/hoss/faiss/IndexScalarQuantizer.h
/data/users/hoss/faiss/IndexScalarQuantizer.cpp

Public Member Functions

Public Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation