File IndexFlatCodes.h
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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.
The SIMDResultHandler object is intended to be templated and inlined. Methods:
handle(): called when 32 distances are computed and provided in two simd16uint16. (q, b) indicate which entry it is in the block.
set_block_origin(): set the sub-matrix that is being computed
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. Defines a few objects that apply transformations to a set of vectors Often these are pre-processing steps.
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struct IndexFlatCodes : public faiss::Index
- #include <IndexFlatCodes.h>
Index that encodes all vectors as fixed-size codes (size code_size). Storage is in the codes vector
Subclassed by faiss::Index2Layer, faiss::IndexAdditiveQuantizer, faiss::IndexFlat, faiss::IndexLSH, faiss::IndexPQ, faiss::IndexScalarQuantizer
Public Functions
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IndexFlatCodes()
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IndexFlatCodes(size_t code_size, idx_t d, MetricType metric = METRIC_L2)
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virtual void reset() override
removes all elements from the database.
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virtual void reconstruct_n(idx_t i0, idx_t ni, float *recons) const override
Reconstruct vectors i0 to i0 + ni - 1
this function may not be defined for some indexes
- Parameters:
i0 – index of the first vector in the sequence
ni – number of vectors in the sequence
recons – reconstucted vector (size ni * d)
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virtual void reconstruct(idx_t key, float *recons) const override
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)
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virtual size_t sa_code_size() const override
size of the produced codes in bytes
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virtual size_t remove_ids(const IDSelector &sel) override
remove some ids. NB that because of the structure of the index, the semantics of this operation are different from the usual ones: the new ids are shifted
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virtual FlatCodesDistanceComputer *get_FlatCodesDistanceComputer() const
a FlatCodesDistanceComputer offers a distance_to_code method
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inline virtual DistanceComputer *get_distance_computer() const override
Get a DistanceComputer (defined in AuxIndexStructures) object for this kind of index.
DistanceComputer is implemented for indexes that support random access of their vectors.
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CodePacker *get_CodePacker() const
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virtual void check_compatible_for_merge(const Index &otherIndex) const override
check that the two indexes are compatible (ie, they are trained in the same way and have the same parameters). Otherwise throw.
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IndexFlatCodes()