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faiss::OPQMatrix Struct Reference

`#include <VectorTransform.h>`

Inheritance diagram for faiss::OPQMatrix:

## Public Member Functions
| OPQMatrix (int d=0, int M=1, int d2=-1)
| if d2 != -1, output vectors of this dimension
void | train (Index::idx_t n, const float *x) override
Public Member Functions inherited from faiss::LinearTransform
| LinearTransform (int d_in=0, int d_out=0, bool have_bias=false)
| both d_in > d_out and d_out < d_in are supported
void | apply_noalloc (idx_t n, const float *x, float *xt) const override
| same as apply, but result is pre-allocated
void | transform_transpose (idx_t n, const float *y, float *x) const
void | reverse_transform (idx_t n, const float *xt, float *x) const override
| works only if is_orthonormal
void | set_is_orthonormal ()
| compute A^T * A to set the is_orthonormal flag
Public Member Functions inherited from faiss::VectorTransform
| VectorTransform (int d_in=0, int d_out=0)
| ! output dimension
float * | apply (idx_t n, const float *x) const

## Public Attributes
int | M
| nb of subquantizers
int | niter
| Number of outer training iterations.
int | niter_pq
| Number of training iterations for the PQ.
int | niter_pq_0
| same, for the first outer iteration
size_t | max_train_points
| if there are too many training points, resample
bool | verbose
ProductQuantizer * | pq
Public Attributes inherited from faiss::LinearTransform
bool | have_bias
bool | is_orthonormal
| ! whether to use the bias term More...
std::vector< float > | A
| Transformation matrix, size d_out * d_in.
std::vector< float > | b
| bias vector, size d_out
bool | verbose
Public Attributes inherited from faiss::VectorTransform
int | d_in
int | d_out
| ! input dimension
bool | is_trained

## Additional Inherited Members
Public Types inherited from faiss::VectorTransform
typedef Index::idx_t | idx_t

## Detailed Description

Applies a rotation to align the dimensions with a PQ to minimize the reconstruction error. Can be used before an IndexPQ or an IndexIVFPQ. The method is the non-parametric version described in:

"Optimized Product Quantization for Approximate Nearest Neighbor Search" Tiezheng Ge, Kaiming He, Qifa Ke, Jian Sun, CVPR'13

Definition at line 188 of file VectorTransform.h.

## Member Function Documentation

void OPQMatrix::train | ( | Index::idx_t | n,
|  | const float * | x
| ) |  |
| override virtual

Perform training on a representative set of vectors. Does nothing by default.

Parameters

  n | nb of training vectors
  x | training vecors, size n * d

Reimplemented from faiss::VectorTransform.

Definition at line 598 of file VectorTransform.cpp.

## Member Data Documentation

ProductQuantizer* faiss::OPQMatrix::pq

if non-NULL, use this product quantizer for training should be constructed with (d_out, M, _)

Definition at line 201 of file VectorTransform.h.

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

- /data/users/hoss/faiss/VectorTransform.h
- /data/users/hoss/faiss/VectorTransform.cpp