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< div class = "title" > /tmp/faiss/PolysemousTraining.h< / div > < / div >
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< div class = "fragment" > < div class = "line" > < a name = "l00001" > < / a > < span class = "lineno" > 1< / span >   < span class = "comment" > /**< / span > < / div >
< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > * Copyright (c) 2015-present, Facebook, Inc.< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > * All rights reserved.< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > *< / span > < / div >
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< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > * This source code is licensed under the BSD+Patents license found in the< / span > < / div >
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< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < / div >
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< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "comment" > // -*- c++ -*-< / span > < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > #ifndef FAISS_POLYSEMOUS_TRAINING_INCLUDED< / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #define FAISS_POLYSEMOUS_TRAINING_INCLUDED< / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < span class = "preprocessor" > #include " ProductQuantizer.h" < / span > < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < / div >
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< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < / div >
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< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "keyword" > namespace < / span > faiss {< / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "comment" > /// parameters used for the simulated annealing method< / span > < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > 22< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > SimulatedAnnealingParameters< / a > {< / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "comment" > // optimization parameters< / span > < / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < span class = "keywordtype" > double< / span > init_temperature; < span class = "comment" > // init probaility of accepting a bad swap< / span > < / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "keywordtype" > double< / span > temperature_decay; < span class = "comment" > // at each iteration the temp is multiplied by this< / span > < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "keywordtype" > int< / span > n_iter; < span class = "comment" > // nb of iterations< / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "keywordtype" > int< / span > n_redo; < span class = "comment" > // nb of runs of the simulation< / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "keywordtype" > int< / span > seed; < span class = "comment" > // random seed< / span > < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "keywordtype" > int< / span > verbose;< / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "keywordtype" > bool< / span > only_bit_flips; < span class = "comment" > // restrict permutation changes to bit flips< / span > < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "keywordtype" > bool< / span > init_random; < span class = "comment" > // intialize with a random permutation (not identity)< / span > < / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "comment" > // set reasonable defaults< / span > < / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < a class = "code" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > SimulatedAnnealingParameters< / a > ();< / div >
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< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < / div >
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< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   };< / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "comment" > /// abstract class for the loss function< / span > < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1PermutationObjective.html" > 41< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1PermutationObjective.html" > PermutationObjective< / a > {< / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "keywordtype" > int< / span > n;< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   < / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < span class = "keyword" > virtual< / span > < span class = "keywordtype" > double< / span > compute_cost (< span class = "keyword" > const< / span > < span class = "keywordtype" > int< / span > *perm) < span class = "keyword" > const< / span > = 0;< / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < span class = "comment" > // what would the cost update be if iw and jw were swapped?< / span > < / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < span class = "comment" > // default implementation just computes both and computes the difference< / span > < / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   < span class = "keyword" > virtual< / span > < span class = "keywordtype" > double< / span > cost_update (< span class = "keyword" > const< / span > < span class = "keywordtype" > int< / span > *perm, < span class = "keywordtype" > int< / span > iw, < span class = "keywordtype" > int< / span > jw) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < span class = "keyword" > virtual< / span > ~< a class = "code" href = "structfaiss_1_1PermutationObjective.html" > PermutationObjective< / a > () {}< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   };< / div >
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< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   < / div >
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< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ReproduceDistancesObjective.html" > 55< / a > < / span >   < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html" > ReproduceDistancesObjective< / a > : < a class = "code" href = "structfaiss_1_1PermutationObjective.html" > PermutationObjective< / a > {< / div >
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< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   < / div >
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< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   < span class = "keywordtype" > double< / span > dis_weight_factor;< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < span class = "keyword" > static< / span > < span class = "keywordtype" > double< / span > sqr (< span class = "keywordtype" > double< / span > x) { < span class = "keywordflow" > return< / span > x * x; }< / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < span class = "comment" > // weihgting of distances: it is more important to reproduce small< / span > < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < span class = "comment" > // distances well< / span > < / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < span class = "keywordtype" > double< / span > dis_weight (< span class = "keywordtype" > double< / span > x) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   < / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b" > 65< / a > < / span >   std::vector< double> < a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b" > source_dis< / a > ; < span class = "comment" > ///< " real" corrected distances (size n^2)< / span > < / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef" > 66< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > * < a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef" > target_dis< / a > ; < span class = "comment" > ///< wanted distances (size n^2)< / span > < / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff" > 67< / a > < / span >   < span class = "comment" > < / span > std::vector< double> < a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff" > weights< / a > ; < span class = "comment" > ///< weights for each distance (size n^2)< / span > < / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   < span class = "keywordtype" > double< / span > get_source_dis (< span class = "keywordtype" > int< / span > i, < span class = "keywordtype" > int< / span > j) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   < span class = "comment" > // cost = quadratic difference between actual distance and Hamming distance< / span > < / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "keywordtype" > double< / span > compute_cost(< span class = "keyword" > const< / span > < span class = "keywordtype" > int< / span > * perm) < span class = "keyword" > const override< / span > ;< / div >
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< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < / div >
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< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   < span class = "comment" > // what would the cost update be if iw and jw were swapped?< / span > < / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < span class = "comment" > // computed in O(n) instead of O(n^2) for the full re-computation< / span > < / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < span class = "keywordtype" > double< / span > cost_update(< span class = "keyword" > const< / span > < span class = "keywordtype" > int< / span > * perm, < span class = "keywordtype" > int< / span > iw, < span class = "keywordtype" > int< / span > jw) < span class = "keyword" > const override< / span > ;< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   < / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html" > ReproduceDistancesObjective< / a > (< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "keywordtype" > int< / span > n,< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > *source_dis_in,< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > *target_dis_in,< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   < span class = "keywordtype" > double< / span > dis_weight_factor);< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   < / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   < span class = "keyword" > static< / span > < span class = "keywordtype" > void< / span > compute_mean_stdev (< span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > *tab, < span class = "keywordtype" > size_t< / span > n2,< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "keywordtype" > double< / span > *mean_out, < span class = "keywordtype" > double< / span > *stddev_out);< / div >
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< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < / div >
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< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "keywordtype" > void< / span > set_affine_target_dis (< span class = "keyword" > const< / span > < span class = "keywordtype" > double< / span > *source_dis_in);< / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   ~< a class = "code" href = "structfaiss_1_1ReproduceDistancesObjective.html" > ReproduceDistancesObjective< / a > ()< span class = "keyword" > override < / span > {}< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   };< / div >
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< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   < / div >
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< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   < span class = "keyword" > struct < / span > RandomGenerator;< / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00094" > < / a > < span class = "lineno" > 94< / span >   < span class = "comment" > /// Simulated annealing optimization algorithm for permutations.< / span > < / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html" > 95< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html" > SimulatedAnnealingOptimizer< / a > : < a class = "code" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > SimulatedAnnealingParameters< / a > {< / div >
< div class = "line" > < a name = "l00096" > < / a > < span class = "lineno" > 96< / span >   < / div >
< div class = "line" > < a name = "l00097" > < / a > < span class = "lineno" > 97< / span >   < a class = "code" href = "structfaiss_1_1PermutationObjective.html" > PermutationObjective< / a > *obj;< / div >
< div class = "line" > < a name = "l00098" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1" > 98< / a > < / span >   < span class = "keywordtype" > int< / span > < a class = "code" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1" > n< / a > ; < span class = "comment" > ///< size of the permutation< / span > < / div >
< div class = "line" > < a name = "l00099" > < / a > < span class = "lineno" > 99< / span >   < span class = "comment" > < / span > FILE *logfile; < span class = "comment" > /// logs values of the cost function< / span > < / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > 101< / span >   < a class = "code" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#ab258eaf892742e37dd2c3bfd3b1c39e1" > SimulatedAnnealingOptimizer< / a > (< a class = "code" href = "structfaiss_1_1PermutationObjective.html" > PermutationObjective< / a > *obj,< / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   < span class = "keyword" > const< / span > < a class = "code" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > SimulatedAnnealingParameters< / a > & p);< / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > 103< / span >   < a class = "code" href = "structfaiss_1_1RandomGenerator.html" > RandomGenerator< / a > *rnd;< / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   < span class = "comment" > /// remember intial cost of optimization< / span > < / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b" > 106< / a > < / span >   < span class = "comment" > < / span > < span class = "keywordtype" > double< / span > < a class = "code" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b" > init_cost< / a > ;< / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   < / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   < span class = "comment" > // main entry point. Perform the optimization loop, starting from< / span > < / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   < span class = "comment" > // and modifying permutation in-place< / span > < / div >
< div class = "line" > < a name = "l00110" > < / a > < span class = "lineno" > 110< / span >   < span class = "keywordtype" > double< / span > optimize (< span class = "keywordtype" > int< / span > *perm);< / div >
< div class = "line" > < a name = "l00111" > < / a > < span class = "lineno" > 111< / span >   < / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   < span class = "comment" > // run the optimization and return the best result in best_perm< / span > < / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   < span class = "keywordtype" > double< / span > run_optimization (< span class = "keywordtype" > int< / span > * best_perm);< / div >
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< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   < / div >
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< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   < span class = "keyword" > virtual< / span > ~< a class = "code" href = "structfaiss_1_1SimulatedAnnealingOptimizer.html" > SimulatedAnnealingOptimizer< / a > ();< / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   };< / div >
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< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > 117< / span >   < / div >
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< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   < / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > 119< / span >   < / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   < span class = "comment" > /// optimizes the order of indices in a ProductQuantizer< / span > < / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1PolysemousTraining.html" > 122< / a > < / span >   < span class = "comment" > < / span > < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html" > PolysemousTraining< / a > : < a class = "code" href = "structfaiss_1_1SimulatedAnnealingParameters.html" > SimulatedAnnealingParameters< / a > {< / div >
< div class = "line" > < a name = "l00123" > < / a > < span class = "lineno" > 123< / span >   < / div >
< div class = "line" > < a name = "l00124" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef" > 124< / a > < / span >   < span class = "keyword" > enum< / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef" > Optimization_type_t< / a > {< / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   OT_None,< / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23" > 126< / a > < / span >   < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23" > OT_ReproduceDistances_affine< / a > , < span class = "comment" > ///< default< / span > < / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa514d33b85a240091cdd7b8efaf66a0b5" > 127< / a > < / span >   < span class = "comment" > < / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa514d33b85a240091cdd7b8efaf66a0b5" > OT_Ranking_weighted_diff< / a > < span class = "comment" > /// same as _2, but use rank of y+ - rank of y-< / span > < / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   < span class = "comment" > < / span > };< / div >
< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef" > Optimization_type_t< / a > optimization_type;< / div >
< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   < / div >
< div class = "line" > < a name = "l00131" > < / a > < span class = "lineno" > 131< / span >   < span class = "comment" > // use 1/4 of the training points for the optimization, with< / span > < / div >
< div class = "line" > < a name = "l00132" > < / a > < span class = "lineno" > 132< / span >   < span class = "comment" > // max. ntrain_permutation. If ntrain_permutation == 0: train on< / span > < / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < span class = "comment" > // centroids< / span > < / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   < span class = "keywordtype" > int< / span > ntrain_permutation;< / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   < span class = "keywordtype" > double< / span > dis_weight_factor; < span class = "comment" > // decay of exp that weights distance loss< / span > < / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   < / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   < span class = "comment" > // filename pattern for the logging of iterations< / span > < / div >
< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   std::string log_pattern;< / div >
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< div class = "line" > < a name = "l00139" > < / a > < span class = "lineno" > 139< / span >   < / div >
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< div class = "line" > < a name = "l00140" > < / a > < span class = "lineno" > 140< / span >   < span class = "comment" > // sets default values< / span > < / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   < a class = "code" href = "structfaiss_1_1PolysemousTraining.html" > PolysemousTraining< / a > ();< / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   < span class = "comment" > /// reorder the centroids so that the Hamming distace becomes a< / span > < / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   < span class = "comment" > /// good approximation of the SDC distance (called by train)< / span > < / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#a995374ba2f0bc2738edae72ca9142f82" > optimize_pq_for_hamming< / a > (< a class = "code" href = "structfaiss_1_1ProductQuantizer.html" > ProductQuantizer< / a > & pq,< / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   < span class = "keywordtype" > size_t< / span > n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   < span class = "comment" > /// called by optimize_pq_for_hamming< / span > < / div >
< div class = "line" > < a name = "l00149" > < / a > < span class = "lineno" > 149< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#a0ac61389b6fcc7f98e998d9d0cc2664a" > optimize_ranking< / a > (< a class = "code" href = "structfaiss_1_1ProductQuantizer.html" > ProductQuantizer< / a > & pq, < span class = "keywordtype" > size_t< / span > n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x) < span class = "keyword" > const< / span > ;< span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00150" > < / a > < span class = "lineno" > 150< / span >   < span class = "comment" > /// called by optimize_pq_for_hamming< / span > < / div >
< div class = "line" > < a name = "l00151" > < / a > < span class = "lineno" > 151< / span >   < span class = "comment" > < / span > < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1PolysemousTraining.html#a6989e2b573d4368e7f863edbbb2f00b8" > optimize_reproduce_distances< / a > (< a class = "code" href = "structfaiss_1_1ProductQuantizer.html" > ProductQuantizer< / a > & pq) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00152" > < / a > < span class = "lineno" > 152< / span >   < / div >
< div class = "line" > < a name = "l00153" > < / a > < span class = "lineno" > 153< / span >   };< / div >
< div class = "line" > < a name = "l00154" > < / a > < span class = "lineno" > 154< / span >   < / div >
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< div class = "line" > < a name = "l00155" > < / a > < span class = "lineno" > 155< / span >   < / div >
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< div class = "line" > < a name = "l00156" > < / a > < span class = "lineno" > 156< / span >   } < span class = "comment" > // namespace faiss< / span > < / div >
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< div class = "line" > < a name = "l00157" > < / a > < span class = "lineno" > 157< / span >   < / div >
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< div class = "line" > < a name = "l00158" > < / a > < span class = "lineno" > 158< / span >   < / div >
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< div class = "line" > < a name = "l00159" > < / a > < span class = "lineno" > 159< / span >   < span class = "preprocessor" > #endif< / span > < / div >
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< div class = "ttc" id = "structfaiss_1_1RandomGenerator_html" > < div class = "ttname" > < a href = "structfaiss_1_1RandomGenerator.html" > faiss::RandomGenerator< / a > < / div > < div class = "ttdoc" > random generator that can be used in multithreaded contexts < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "utils_8h_source.html#l00048" > utils.h:48< / a > < / div > < / div >
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< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_aeb5a523056697934972f95fd428f61efa514d33b85a240091cdd7b8efaf66a0b5" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa514d33b85a240091cdd7b8efaf66a0b5" > faiss::PolysemousTraining::OT_Ranking_weighted_diff< / a > < / div > < div class = "ttdoc" > same as _2, but use rank of y+ - rank of y- < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00127" > PolysemousTraining.h:127< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1SimulatedAnnealingOptimizer_html_ab258eaf892742e37dd2c3bfd3b1c39e1" > < div class = "ttname" > < a href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#ab258eaf892742e37dd2c3bfd3b1c39e1" > faiss::SimulatedAnnealingOptimizer::SimulatedAnnealingOptimizer< / a > < / div > < div class = "ttdeci" > SimulatedAnnealingOptimizer(PermutationObjective *obj, const SimulatedAnnealingParameters & p)< / div > < div class = "ttdoc" > logs values of the cost function < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8cpp_source.html#l00069" > PolysemousTraining.cpp:69< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ReproduceDistancesObjective_html" > < div class = "ttname" > < a href = "structfaiss_1_1ReproduceDistancesObjective.html" > faiss::ReproduceDistancesObjective< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00055" > PolysemousTraining.h:55< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1SimulatedAnnealingOptimizer_html_a90edfc401372aa1a2a832b403e26bfd1" > < div class = "ttname" > < a href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1" > faiss::SimulatedAnnealingOptimizer::n< / a > < / div > < div class = "ttdeci" > int n< / div > < div class = "ttdoc" > size of the permutation < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00098" > PolysemousTraining.h:98< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ReproduceDistancesObjective_html_ac99d739f81e13e841ba7d81d90629aef" > < div class = "ttname" > < a href = "structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef" > faiss::ReproduceDistancesObjective::target_dis< / a > < / div > < div class = "ttdeci" > const double * target_dis< / div > < div class = "ttdoc" > wanted distances (size n^2) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00066" > PolysemousTraining.h:66< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1SimulatedAnnealingOptimizer_html_aa8ff19f97482c6213b2a8ff3b190412b" > < div class = "ttname" > < a href = "structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b" > faiss::SimulatedAnnealingOptimizer::init_cost< / a > < / div > < div class = "ttdeci" > double init_cost< / div > < div class = "ttdoc" > remember intial cost of optimization < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00106" > PolysemousTraining.h:106< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_a0ac61389b6fcc7f98e998d9d0cc2664a" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#a0ac61389b6fcc7f98e998d9d0cc2664a" > faiss::PolysemousTraining::optimize_ranking< / a > < / div > < div class = "ttdeci" > void optimize_ranking(ProductQuantizer & pq, size_t n, const float *x) const < / div > < div class = "ttdoc" > called by optimize_pq_for_hamming < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8cpp_source.html#l00828" > PolysemousTraining.cpp:828< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html" > faiss::PolysemousTraining< / a > < / div > < div class = "ttdoc" > optimizes the order of indices in a ProductQuantizer < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00122" > PolysemousTraining.h:122< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ReproduceDistancesObjective_html_a982332b44ff32b9ae9694e374acd0aff" > < div class = "ttname" > < a href = "structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff" > faiss::ReproduceDistancesObjective::weights< / a > < / div > < div class = "ttdeci" > std::vector< double > weights< / div > < div class = "ttdoc" > weights for each distance (size n^2) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00067" > PolysemousTraining.h:67< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1SimulatedAnnealingParameters_html" > < div class = "ttname" > < a href = "structfaiss_1_1SimulatedAnnealingParameters.html" > faiss::SimulatedAnnealingParameters< / a > < / div > < div class = "ttdoc" > parameters used for the simulated annealing method < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00022" > PolysemousTraining.h:22< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23" > faiss::PolysemousTraining::OT_ReproduceDistances_affine< / a > < / div > < div class = "ttdoc" > default < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00126" > PolysemousTraining.h:126< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PermutationObjective_html" > < div class = "ttname" > < a href = "structfaiss_1_1PermutationObjective.html" > faiss::PermutationObjective< / a > < / div > < div class = "ttdoc" > abstract class for the loss function < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00041" > PolysemousTraining.h:41< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_aeb5a523056697934972f95fd428f61ef" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef" > faiss::PolysemousTraining::Optimization_type_t< / a > < / div > < div class = "ttdeci" > Optimization_type_t< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00124" > PolysemousTraining.h:124< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ProductQuantizer_html" > < div class = "ttname" > < a href = "structfaiss_1_1ProductQuantizer.html" > faiss::ProductQuantizer< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "ProductQuantizer_8h_source.html#l00024" > ProductQuantizer.h:24< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ReproduceDistancesObjective_html_a6681846eb7751b32a907d075fff6770b" > < div class = "ttname" > < a href = "structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b" > faiss::ReproduceDistancesObjective::source_dis< / a > < / div > < div class = "ttdeci" > std::vector< double > source_dis< / div > < div class = "ttdoc" > & quot;real& quot; corrected distances (size n^2) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00065" > PolysemousTraining.h:65< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_a6989e2b573d4368e7f863edbbb2f00b8" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#a6989e2b573d4368e7f863edbbb2f00b8" > faiss::PolysemousTraining::optimize_reproduce_distances< / a > < / div > < div class = "ttdeci" > void optimize_reproduce_distances(ProductQuantizer & pq) const < / div > < div class = "ttdoc" > called by optimize_pq_for_hamming < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8cpp_source.html#l00765" > PolysemousTraining.cpp:765< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1PolysemousTraining_html_a995374ba2f0bc2738edae72ca9142f82" > < div class = "ttname" > < a href = "structfaiss_1_1PolysemousTraining.html#a995374ba2f0bc2738edae72ca9142f82" > faiss::PolysemousTraining::optimize_pq_for_hamming< / a > < / div > < div class = "ttdeci" > void optimize_pq_for_hamming(ProductQuantizer & pq, size_t n, const float *x) const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8cpp_source.html#l00935" > PolysemousTraining.cpp:935< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1SimulatedAnnealingOptimizer_html" > < div class = "ttname" > < a href = "structfaiss_1_1SimulatedAnnealingOptimizer.html" > faiss::SimulatedAnnealingOptimizer< / a > < / div > < div class = "ttdoc" > Simulated annealing optimization algorithm for permutations. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "PolysemousTraining_8h_source.html#l00095" > PolysemousTraining.h:95< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
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