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faiss::IndexHNSW Struct Referenceabstract

`#include <IndexHNSW.h>`

Inheritance diagram for faiss::IndexHNSW:

## Public Types
typedef HNSW::storage_idx_t | storage_idx_t
Public Types inherited from faiss::Index
typedef long | idx_t
| all indices are this type

## Public Member Functions
| IndexHNSW (int d=0, int M=32)
| IndexHNSW (Index *storage, int M=32)
virtual HNSW::DistanceComputer * | get_distance_computer () const =0
void | add (idx_t n, const float *x) override
void | train (idx_t n, const float *x) override
| Trains the storage if needed.
void | search (idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override
| entry point for search
void | reconstruct (idx_t key, float *recons) const override
void | reset () override
| removes all elements from the database.
void | shrink_level_0_neighbors (int size)
void | search_level_0 (idx_t n, const float *x, idx_t k, const storage_idx_t *nearest, const float *nearest_d, float *distances, idx_t *labels, int nprobe=1, int search_type=1) const
void | init_level_0_from_knngraph (int k, const float *D, const idx_t *I)
| alternative graph building
void | init_level_0_from_entry_points (int npt, const storage_idx_t *points, const storage_idx_t *nearests)
| alternative graph building
void | reorder_links ()
void | link_singletons ()
Public Member Functions inherited from faiss::Index
| 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
HNSW | hnsw
bool | own_fields
Index * | storage
ReconstructFromNeighbors * | reconstruct_from_neighbors
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

## Detailed Description

The HNSW index is a normal random-access index with a HNSW link structure built on top

Definition at line 70 of file IndexHNSW.h.

## Member Function Documentation

void faiss::IndexHNSW::add | ( | idx_t | n,
|  | const float * | x
| ) |  |
| override virtual

Add n vectors of dimension d to the index.

Vectors are implicitly assigned labels ntotal .. ntotal + n - 1 This function slices the input vectors in chuncks smaller than blocksize_add and calls add_core.

Parameters

  x | input matrix, size n * d

Implements faiss::Index.

Definition at line 259 of file IndexHNSW.cpp.

void faiss::IndexHNSW::reconstruct | ( | idx_t | key,
|  | float * | recons
| ) |  | const
| override virtual

Reconstruct a stored vector (or an approximation if lossy coding)

this function may not be defined for some indexes

Parameters

  key | id of the vector to reconstruct
  recons | reconstucted vector (size d)

Reimplemented from faiss::Index.

Definition at line 277 of file IndexHNSW.cpp.

void faiss::IndexHNSW::search_level_0 | ( | idx_t | n,
|  | const float * | x,
|  | idx_t | k,
|  | const storage_idx_t * | nearest,
|  | const float * | nearest_d,
|  | float * | distances,
|  | idx_t * | labels,
|  | int | nprobe = `1`,
|  | int | search_type = `1`
| ) |  | const

Perform search only on level 0, given the starting points for each vertex.

Parameters

  search_type | 1:perform one search per nprobe, 2: enqueue all entry points

Definition at line 320 of file IndexHNSW.cpp.

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

- /tmp/faiss/IndexHNSW.h
- /tmp/faiss/IndexHNSW.cpp