File random.h

namespace faiss

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Implementation of k-means clustering with many variants.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. IDSelector is intended to define a subset of vectors to handle (for removal or as subset to search)

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. PQ4 SIMD packing and accumulation functions

The basic kernel accumulates nq query vectors with bbs = nb * 2 * 16 vectors and produces an output matrix for that. It is interesting for nq * nb <= 4, otherwise register spilling becomes too large.

The implementation of these functions is spread over 3 cpp files to reduce parallel compile times. Templates are instantiated explicitly.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. This file contains callbacks for kernels that compute distances.

Throughout the library, vectors are provided as float * pointers. Most algorithms can be optimized when several vectors are processed (added/searched) together in a batch. In this case, they are passed in as a matrix. When n vectors of size d are provided as float * x, component j of vector i is

x[ i * d + j ]

where 0 <= i < n and 0 <= j < d. In other words, matrices are always compact. When specifying the size of the matrix, we call it an n*d matrix, which implies a row-major storage.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. I/O functions can read/write to a filename, a file handle or to an object that abstracts the medium.

The read functions return objects that should be deallocated with delete. All references within these objectes are owned by the object.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Definition of inverted lists + a few common classes that implement the interface.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Since IVF (inverted file) indexes are of so much use for large-scale use cases, we group a few functions related to them in this small library. Most functions work both on IndexIVFs and IndexIVFs embedded within an IndexPreTransform.

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. In this file are the implementations of extra metrics beyond L2 and inner product

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Implements a few neural net layers, mainly to support QINCo

Copyright (c) Facebook, Inc. and its affiliates.

This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree. Defines a few objects that apply transformations to a set of vectors Often these are pre-processing steps.

Functions

void float_rand(float *x, size_t n, int64_t seed)
void float_randn(float *x, size_t n, int64_t seed)
void int64_rand(int64_t *x, size_t n, int64_t seed)
void byte_rand(uint8_t *x, size_t n, int64_t seed)
void int64_rand_max(int64_t *x, size_t n, uint64_t max, int64_t seed)
void rand_perm(int *perm, size_t n, int64_t seed)
void rand_perm_splitmix64(int *perm, size_t n, int64_t seed)
void rand_smooth_vectors(size_t n, size_t d, float *x, int64_t seed)
struct RandomGenerator
#include <random.h>

random generator that can be used in multithreaded contexts

Public Functions

int rand_int()

random positive integer

int64_t rand_int64()

random int64_t

int rand_int(int max)

generate random integer between 0 and max-1

float rand_float()

between 0 and 1

double rand_double()
explicit RandomGenerator(int64_t seed = 1234)

Public Members

std::mt19937 mt
struct SplitMix64RandomGenerator
#include <random.h>

fast random generator that cannot be used in multithreaded contexts. based on https://prng.di.unimi.it/

Public Functions

int rand_int()

random positive integer

int64_t rand_int64()

random int64_t

int rand_int(int max)

generate random integer between 0 and max-1

float rand_float()

between 0 and 1

double rand_double()
explicit SplitMix64RandomGenerator(int64_t seed = 1234)
uint64_t next()

Public Members

uint64_t state