Inheritance diagram for faiss::IndexIVFFlatIPBounds:

Public Member Functions
	IndexIVFFlatIPBounds (Index *quantizer, size_t d, size_t nlist, size_t fsize)

void	add_core (idx_t n, const float x, const long xids, const long *precomputed_idx) override
	same as add_with_ids, with precomputed coarse quantizer

void	search (idx_t n, const float x, idx_t k, float distances, idx_t *labels) const override

Public Member Functions inherited from faiss::IndexIVFFlat
	IndexIVFFlat (Index *quantizer, size_t d, size_t nlist_, MetricType=METRIC_INNER_PRODUCT)

void	add_with_ids (idx_t n, const float x, const long xids) override
	implemented for all IndexIVF* classes

void	search_preassigned (idx_t n, const float x, idx_t k, const idx_t assign, float distances, idx_t labels) const
	perform search, without computing the assignment to the quantizer

void	range_search (idx_t n, const float x, float radius, RangeSearchResult result) const override

void	copy_subset_to (IndexIVFFlat &other, int subset_type, long a1, long a2) const

void	reset () override
	removes all elements from the database.

long	remove_ids (const IDSelector &sel) override

void	search_knn_inner_product (size_t nx, const float x, const long keys, float_minheap_array_t *res) const
	Implementation of the search for the inner product metric.

void	search_knn_L2sqr (size_t nx, const float x, const long keys, float_maxheap_array_t *res) const
	Implementation of the search for the L2 metric.

void	update_vectors (int nv, idx_t idx, const float v)

void	reconstruct (idx_t key, float *recons) const override

void	merge_from_residuals (IndexIVF &other) override

Public Member Functions inherited from faiss::IndexIVF
	IndexIVF (Index *quantizer, size_t d, size_t nlist, MetricType metric=METRIC_INNER_PRODUCT)

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	train_residual (idx_t n, const float *x)

virtual void	merge_from (IndexIVF &other, idx_t add_id)

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

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

void	assign (idx_t n, const float x, idx_t labels, idx_t k=1)

virtual void	reconstruct_n (idx_t i0, idx_t ni, float *recons) const

void	compute_residual (const float x, float residual, idx_t key) const

void	display () const

Public Attributes
size_t	fsize
	nb of dimensions of pre-filter

std::vector< std::vector< float > >	part_norms
	norm of remainder (dimensions fsize:d)

Public Attributes inherited from faiss::IndexIVFFlat
std::vector< std::vector< float > >	vecs

Public Attributes inherited from faiss::IndexIVF
size_t	nlist
	number of possible key values

size_t	nprobe
	number of probes at query time

Index *	quantizer
	quantizer that maps vectors to inverted lists

bool	quantizer_trains_alone
	just pass over the trainset to quantizer

bool	own_fields
	whether object owns the quantizer

ClusteringParameters	cp
	to override default clustering params

std::vector< std::vector< long > >	ids
	Inverted lists for indexes.

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

std::vector< long >	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

Additional Inherited Members
Public Types inherited from faiss::Index
typedef long	idx_t
	all indices are this type

Detailed Description

Definition at line 207 of file IndexIVF.h.

Member Function Documentation

void faiss::IndexIVFFlatIPBounds::search	(	idx_t	n,
		const float *	x,
		idx_t	k,
		float *	distances,
		idx_t *	labels
	)		const

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.

Parameters

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::IndexIVFFlat.

Definition at line 693 of file IndexIVF.cpp.

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

/data/users/matthijs/github_faiss/faiss/IndexIVF.h
/data/users/matthijs/github_faiss/faiss/IndexIVF.cpp

Public Member Functions

Public Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation