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AutoTune.h
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AutoTune.h
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/**
* Copyright (c) 2015-present, Facebook, Inc.
* All rights reserved.
*
* This source code is licensed under the CC-by-NC license found in the
* LICENSE file in the root directory of this source tree.
*/
// Copyright 2004-present Facebook. All Rights Reserved.
// -*- c++ -*-
#ifndef FAISS_AUTO_TUNE_H
#define FAISS_AUTO_TUNE_H
#include <vector>
#include "Index.h"
namespace faiss {
/**
* Evaluation criterion. Returns a performance measure in [0,1],
* higher is better.
*/
struct AutoTuneCriterion {
typedef Index::idx_t idx_t;
idx_t nq; ///< nb of queries this criterion is evaluated on
idx_t nnn; ///< nb of NNs that the query should request
idx_t gt_nnn; ///< nb of GT NNs required to evaluate crterion
std::vector<float> gt_D; ///< Ground-truth distances (size nq * gt_nnn)
std::vector<idx_t> gt_I; ///< Ground-truth indexes (size nq * gt_nnn)
AutoTuneCriterion (idx_t nq, idx_t nnn);
/** Intitializes the gt_D and gt_I vectors. Must be called before evaluating
*
* @param gt_D_in size nq * gt_nnn
* @param gt_I_in size nq * gt_nnn
*/
void set_groundtruth (int gt_nnn, const float *gt_D_in,
const idx_t *gt_I_in);
/** Evaluate the criterion.
*
* @param D size nq * nnn
* @param I size nq * nnn
* @return the criterion, between 0 and 1. Larger is better.
*/
virtual double evaluate (const float *D, const idx_t *I) const = 0;
virtual ~AutoTuneCriterion () {}
};
struct OneRecallAtRCriterion: AutoTuneCriterion {
idx_t R;
OneRecallAtRCriterion (idx_t nq, idx_t R);
virtual double evaluate (const float *D, const idx_t *I) const override;
virtual ~OneRecallAtRCriterion () {}
};
struct IntersectionCriterion: AutoTuneCriterion {
idx_t R;
IntersectionCriterion (idx_t nq, idx_t R);
virtual double evaluate (const float *D, const idx_t *I) const override;
virtual ~IntersectionCriterion () {}
};
/**
* Maintains a list of experimental results. Each operating point is a
* (perf, t, key) triplet, where higher perf and lower t is
* better. The key field is an arbitrary identifier for the operating point
*/
struct OperatingPoint {
double perf; ///< performance measure (output of a Criterion)
double t; ///< corresponding execution time (ms)
std::string key; ///< key that identifies this op pt
long cno; ///< integer identifer
};
struct OperatingPoints {
/// all operating points
std::vector<OperatingPoint> all_pts;
/// optimal operating points, sorted by perf
std::vector<OperatingPoint> optimal_pts;
// begins with a single operating point: t=0, perf=0
OperatingPoints ();
/// add operating points from other to this, with a prefix to the keys
int merge_with (const OperatingPoints &other,
const std::string & prefix = "");
void clear ();
/// add a performance measure. Return whether it is an optimal point
bool add (double perf, double t, const std::string & key, size_t cno = 0);
/// get time required to obtain a given performance measure
double t_for_perf (double perf) const;
/// easy-to-read output
void display (bool only_optimal = true) const;
/// output to a format easy to digest by gnuplot
void all_to_gnuplot (const char *fname) const;
void optimal_to_gnuplot (const char *fname) const;
};
/// possible values of a parameter, sorted from least to most expensive/accurate
struct ParameterRange {
std::string name;
std::vector<double> values;
};
/** Uses a-priori knowledge on the Faiss indexes to extract tunable parameters.
*/
struct ParameterSpace {
/// all tunable parameters
std::vector<ParameterRange> parameter_ranges;
// exploration parameters
/// verbosity during exploration
int verbose;
/// nb of experiments during optimization (0 = try all combinations)
int n_experiments;
/// maximum number of queries to submit at a time.
size_t batchsize;
/// use multithreading over batches (useful to benchmark
/// independent single-searches)
bool thread_over_batches;
ParameterSpace ();
/// nb of combinations, = product of values sizes
size_t n_combinations () const;
/// returns whether combinations c1 >= c2 in the tuple sense
bool combination_ge (size_t c1, size_t c2) const;
/// get string representation of the combination
std::string combination_name (size_t cno) const;
/// print a description on stdout
void display () const;
/// add a new parameter
ParameterRange &add_range(const char * name);
/// initialize with reasonable parameters for the index
virtual void initialize (const Index * index);
/// set a combination of parameters on an index
void set_index_parameters (Index *index, size_t cno) const;
/// set a combination of parameters described by a string
void set_index_parameters (Index *index, const char *param_string) const;
/// set one of the parameters
virtual void set_index_parameter (
Index * index, const std::string & name, double val) const;
/** find an upper bound on the performance and a lower bound on t
* for configuration cno given another operating point op */
void update_bounds (size_t cno, const OperatingPoint & op,
double *upper_bound_perf,
double *lower_bound_t) const;
/** explore operating points
* @param index index to run on
* @param xq query vectors (size nq * index.d)
* @param crit selection criterion
* @param ops resutling operating points
*/
void explore (Index *index,
size_t nq, const float *xq,
const AutoTuneCriterion & crit,
OperatingPoints * ops) const;
virtual ~ParameterSpace () {}
};
/** Build and index with the sequence of processing steps described in
* the string. */
Index *index_factory (int d, const char *description,
MetricType metric = METRIC_L2);
} // namespace faiss
#endif