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<div class="title">PolysemousTraining.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment">// -*- c++ -*-</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#ifndef FAISS_POLYSEMOUS_TRAINING_INCLUDED</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor"></span><span class="preprocessor">#define FAISS_POLYSEMOUS_TRAINING_INCLUDED</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &quot;ProductQuantizer.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace </span>faiss {</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="comment">/// parameters used for the simulated annealing method</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structfaiss_1_1SimulatedAnnealingParameters.html"> 26</a></span>&#160;<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="l00027"></a><span class="lineno"> 27</span>&#160;</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="comment">// optimization parameters</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordtype">double</span> init_temperature; <span class="comment">// init probaility of accepting a bad swap</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <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="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordtype">int</span> n_iter; <span class="comment">// nb of iterations</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordtype">int</span> n_redo; <span class="comment">// nb of runs of the simulation</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordtype">int</span> seed; <span class="comment">// random seed</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordtype">int</span> verbose;</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordtype">bool</span> only_bit_flips; <span class="comment">// restrict permutation changes to bit flips</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">bool</span> init_random; <span class="comment">// intialize with a random permutation (not identity)</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="comment">// set reasonable defaults</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <a class="code" href="structfaiss_1_1SimulatedAnnealingParameters.html">SimulatedAnnealingParameters</a> ();</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;};</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="comment">/// abstract class for the loss function</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="structfaiss_1_1PermutationObjective.html"> 45</a></span>&#160;<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="l00046"></a><span class="lineno"> 46</span>&#160;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keywordtype">int</span> n;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <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="l00050"></a><span class="lineno"> 50</span>&#160;</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// what would the cost update be if iw and jw were swapped?</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// default implementation just computes both and computes the difference</span></div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <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="l00054"></a><span class="lineno"> 54</span>&#160;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">virtual</span> ~<a class="code" href="structfaiss_1_1PermutationObjective.html">PermutationObjective</a> () {}</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;};</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div>
<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structfaiss_1_1ReproduceDistancesObjective.html"> 59</a></span>&#160;<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>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordtype">double</span> dis_weight_factor;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <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="l00064"></a><span class="lineno"> 64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// weihgting of distances: it is more important to reproduce small</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// distances well</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">double</span> dis_weight (<span class="keywordtype">double</span> x) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div>
<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b"> 69</a></span>&#160; std::vector&lt;double&gt; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b">source_dis</a>; <span class="comment">///&lt; &quot;real&quot; corrected distances (size n^2)</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef"> 70</a></span>&#160;<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">///&lt; wanted distances (size n^2)</span></div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff"> 71</a></span>&#160;<span class="comment"></span> std::vector&lt;double&gt; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a>; <span class="comment">///&lt; weights for each distance (size n^2)</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <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="l00074"></a><span class="lineno"> 74</span>&#160;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="comment">// cost = quadratic difference between actual distance and Hamming distance</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <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 override</span>;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="comment">// what would the cost update be if iw and jw were swapped?</span></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="comment">// computed in O(n) instead of O(n^2) for the full re-computation</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <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 override</span>;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html">ReproduceDistancesObjective</a> (</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *source_dis_in,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *target_dis_in,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">double</span> dis_weight_factor);</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <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="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordtype">double</span> *mean_out, <span class="keywordtype">double</span> *stddev_out);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <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="l00092"></a><span class="lineno"> 92</span>&#160;</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">virtual</span> ~<a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html">ReproduceDistancesObjective</a> () {}</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;};</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="keyword">struct </span>RandomGenerator;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;<span class="comment">/// Simulated annealing optimization algorithm for permutations.</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="structfaiss_1_1SimulatedAnnealingOptimizer.html"> 100</a></span>&#160;<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="l00101"></a><span class="lineno"> 101</span>&#160;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <a class="code" href="structfaiss_1_1PermutationObjective.html">PermutationObjective</a> *obj;</div>
<div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1"> 103</a></span>&#160; <span class="keywordtype">int</span> <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1">n</a>; <span class="comment">///&lt; size of the permutation</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;<span class="comment"></span> FILE *logfile; <span class="comment">/// logs values of the cost function</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <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="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> <a class="code" href="structfaiss_1_1SimulatedAnnealingParameters.html">SimulatedAnnealingParameters</a> &amp;p);</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <a class="code" href="structfaiss_1_1RandomGenerator.html">RandomGenerator</a> *rnd;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;<span class="comment"> /// remember intial cost of optimization</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b"> 111</a></span>&#160;<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="l00112"></a><span class="lineno"> 112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="comment">// main entry point. Perform the optimization loop, starting from</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="comment">// and modifying permutation in-place</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keywordtype">double</span> optimize (<span class="keywordtype">int</span> *perm);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="comment">// run the optimization and return the best result in best_perm</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordtype">double</span> run_optimization (<span class="keywordtype">int</span> * best_perm);</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keyword">virtual</span> ~<a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html">SimulatedAnnealingOptimizer</a> ();</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;};</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;<span class="comment">/// optimizes the order of indices in a ProductQuantizer</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html"> 127</a></span>&#160;<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="l00128"></a><span class="lineno"> 128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef"> 129</a></span>&#160; <span class="keyword">enum</span> <a class="code" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef">Optimization_type_t</a> {</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; OT_None,</div>
<div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23"> 131</a></span>&#160; <a class="code" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23">OT_ReproduceDistances_affine</a>, <span class="comment">///&lt; default</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa514d33b85a240091cdd7b8efaf66a0b5"> 132</a></span>&#160;<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="l00133"></a><span class="lineno"> 133</span>&#160;<span class="comment"></span> };</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61ef">Optimization_type_t</a> optimization_type;</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="comment">// use 1/4 of the training points for the optimization, with</span></div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="comment">// max. ntrain_permutation. If ntrain_permutation == 0: train on</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="comment">// centroids</span></div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordtype">int</span> ntrain_permutation;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <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="l00141"></a><span class="lineno"> 141</span>&#160;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="comment">// filename pattern for the logging of iterations</span></div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; std::string log_pattern;</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="comment">// sets default values</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <a class="code" href="structfaiss_1_1PolysemousTraining.html">PolysemousTraining</a> ();</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="comment"> /// reorder the centroids so that the Hamming distace becomes a</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;<span class="comment"> /// good approximation of the SDC distance (called by train)</span></div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;<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> &amp; pq,</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <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="l00152"></a><span class="lineno"> 152</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;<span class="comment"> /// called by optimize_pq_for_hamming</span></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<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> &amp;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="l00155"></a><span class="lineno"> 155</span>&#160;<span class="comment"> /// called by optimize_pq_for_hamming</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;<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> &amp;pq) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;};</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;} <span class="comment">// namespace faiss</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;<span class="preprocessor">#endif</span></div>
<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#l00049">utils.h:49</a></div></div>
<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#l00132">PolysemousTraining.h:132</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 &amp;p)</div><div class="ttdoc">logs values of the cost function </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00068">PolysemousTraining.cpp:68</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#l00059">PolysemousTraining.h:59</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#l00103">PolysemousTraining.h:103</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#l00070">PolysemousTraining.h:70</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#l00111">PolysemousTraining.h:111</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 &amp;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#l00839">PolysemousTraining.cpp:839</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#l00127">PolysemousTraining.h:127</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&lt; double &gt; 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#l00071">PolysemousTraining.h:71</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#l00026">PolysemousTraining.h:26</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#l00131">PolysemousTraining.h:131</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#l00045">PolysemousTraining.h:45</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#l00129">PolysemousTraining.h:129</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#l00026">ProductQuantizer.h:26</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&lt; double &gt; source_dis</div><div class="ttdoc">&amp;quot;real&amp;quot; corrected distances (size n^2) </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8h_source.html#l00069">PolysemousTraining.h:69</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 &amp;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#l00776">PolysemousTraining.cpp:776</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 &amp;pq, size_t n, const float *x) const </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00945">PolysemousTraining.cpp:945</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#l00100">PolysemousTraining.h:100</a></div></div>
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