faiss/docs/html/PolysemousTraining_8cpp_sou...

1084 lines
157 KiB
HTML
Raw Normal View History

2017-02-23 06:26:44 +08:00
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=9"/>
<meta name="generator" content="Doxygen 1.8.5"/>
<title>Faiss: /data/users/hoss/faiss/PolysemousTraining.cpp Source File</title>
2017-02-23 06:26:44 +08:00
<link href="tabs.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="jquery.js"></script>
<script type="text/javascript" src="dynsections.js"></script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
$(document).ready(function() { searchBox.OnSelectItem(0); });
</script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
</head>
<body>
<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
<div id="titlearea">
<table cellspacing="0" cellpadding="0">
<tbody>
<tr style="height: 56px;">
<td style="padding-left: 0.5em;">
<div id="projectname">Faiss
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.5 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<div id="navrow1" class="tabs">
<ul class="tablist">
<li><a href="index.html"><span>Main&#160;Page</span></a></li>
<li><a href="namespaces.html"><span>Namespaces</span></a></li>
<li><a href="annotated.html"><span>Classes</span></a></li>
<li class="current"><a href="files.html"><span>Files</span></a></li>
<li>
<div id="MSearchBox" class="MSearchBoxInactive">
<span class="left">
<img id="MSearchSelect" src="search/mag_sel.png"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
alt=""/>
<input type="text" id="MSearchField" value="Search" accesskey="S"
onfocus="searchBox.OnSearchFieldFocus(true)"
onblur="searchBox.OnSearchFieldFocus(false)"
onkeyup="searchBox.OnSearchFieldChange(event)"/>
</span><span class="right">
<a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
</span>
</div>
</li>
</ul>
</div>
<div id="navrow2" class="tabs2">
<ul class="tablist">
<li><a href="files.html"><span>File&#160;List</span></a></li>
</ul>
</div>
</div><!-- top -->
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Classes</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Typedefs</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Friends</a></div>
<!-- iframe showing the search results (closed by default) -->
<div id="MSearchResultsWindow">
<iframe src="javascript:void(0)" frameborder="0"
name="MSearchResults" id="MSearchResults">
</iframe>
</div>
<div class="header">
<div class="headertitle">
<div class="title">/data/users/hoss/faiss/PolysemousTraining.cpp</div> </div>
2017-02-23 06:26:44 +08:00
</div><!--header-->
<div class="contents">
<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"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment">// -*- c++ -*-</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="preprocessor">#include &quot;PolysemousTraining.h&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;cstdlib&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;cstring&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;algorithm&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &quot;utils.h&quot;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="preprocessor">#include &quot;hamming.h&quot;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="preprocessor">#include &quot;FaissAssert.h&quot;</span></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;<span class="comment">/*****************************************</span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"> * Mixed PQ / Hamming</span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="comment"> ******************************************/</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword">namespace </span>faiss {</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment">/****************************************************</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"> * Optimization code</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="comment"> ****************************************************/</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;SimulatedAnnealingParameters::SimulatedAnnealingParameters ()</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// set some reasonable defaults for the optimization</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; init_temperature = 0.7;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; temperature_decay = pow (0.9, 1/500.);</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="comment">// reduce by a factor 0.9 every 500 it</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; n_iter = 500000;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; n_redo = 2;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; seed = 123;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; verbose = 0;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; only_bit_flips = <span class="keyword">false</span>;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; init_random = <span class="keyword">false</span>;</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;</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment">// what would the cost update be if iw and jw were swapped?</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment">// default implementation just computes both and computes the difference</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="keywordtype">double</span> PermutationObjective::cost_update (</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <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="l00052"></a><span class="lineno"> 52</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordtype">double</span> orig_cost = compute_cost (perm);</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; std::vector&lt;int&gt; perm2 (n);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; perm2[i] = perm[i];</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; perm2[iw] = perm[jw];</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; perm2[jw] = perm[iw];</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> new_cost = compute_cost (perm2.data());</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">return</span> new_cost - orig_cost;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;}</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div>
<div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#ab258eaf892742e37dd2c3bfd3b1c39e1"> 68</a></span>&#160;<a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#ab258eaf892742e37dd2c3bfd3b1c39e1">SimulatedAnnealingOptimizer::SimulatedAnnealingOptimizer</a> (</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="structfaiss_1_1PermutationObjective.html">PermutationObjective</a> *obj,</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="structfaiss_1_1SimulatedAnnealingParameters.html">SimulatedAnnealingParameters</a> (p),</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; obj (obj),</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; n(obj-&gt;n),</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; logfile (nullptr)</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;{</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; rnd = <span class="keyword">new</span> <a class="code" href="structfaiss_1_1RandomGenerator.html">RandomGenerator</a> (p.seed);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; FAISS_THROW_IF_NOT (n &lt; 100000 &amp;&amp; n &gt;=0 );</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;}</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;SimulatedAnnealingOptimizer::~SimulatedAnnealingOptimizer ()</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; <span class="keyword">delete</span> rnd;</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;}</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment">// run the optimization and return the best result in best_perm</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;<span class="keywordtype">double</span> SimulatedAnnealingOptimizer::run_optimization (<span class="keywordtype">int</span> * best_perm)</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="keywordtype">double</span> min_cost = 1e30;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// just do a few runs of the annealing and keep the lowest output cost</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> it = 0; it &lt; n_redo; it++) {</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; std::vector&lt;int&gt; perm(n);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1">n</a>; i++)</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; perm[i] = i;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">if</span> (init_random) {</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1">n</a>; i++) {</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordtype">int</span> j = i + rnd-&gt;<a class="code" href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">rand_int</a> (n - i);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::swap (perm[i], perm[j]);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; }</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; }</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordtype">float</span> cost = optimize (perm.data());</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">if</span> (logfile) fprintf (logfile, <span class="stringliteral">&quot;\n&quot;</span>);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">if</span>(verbose &gt; 1) {</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; printf (<span class="stringliteral">&quot; optimization run %d: cost=%g %s\n&quot;</span>,</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; it, cost, cost &lt; min_cost ? <span class="stringliteral">&quot;keep&quot;</span> : <span class="stringliteral">&quot;&quot;</span>);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; }</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">if</span> (cost &lt; min_cost) {</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; memcpy (best_perm, perm.data(), <span class="keyword">sizeof</span>(perm[0]) * n);</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; min_cost = cost;</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; }</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">return</span> min_cost;</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;<span class="comment">// perform the optimization loop, starting from and modifying</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="comment">// permutation in-place</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<span class="keywordtype">double</span> SimulatedAnnealingOptimizer::optimize (<span class="keywordtype">int</span> *perm)</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;{</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">double</span> cost = <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b">init_cost</a> = obj-&gt;compute_cost (perm);</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">int</span> log2n = 0;</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">while</span> (!(n &lt;= (1 &lt;&lt; log2n))) log2n++;</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordtype">double</span> temperature = init_temperature;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordtype">int</span> n_swap = 0, n_hot = 0;</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> it = 0; it &lt; n_iter; it++) {</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; temperature = temperature * temperature_decay;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordtype">int</span> iw, jw;</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">if</span> (only_bit_flips) {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; iw = rnd-&gt;<a class="code" href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">rand_int</a> (n);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; jw = iw ^ (1 &lt;&lt; rnd-&gt;<a class="code" href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">rand_int</a> (log2n));</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; iw = rnd-&gt;<a class="code" href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">rand_int</a> (n);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; jw = rnd-&gt;<a class="code" href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">rand_int</a> (n - 1);</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <span class="keywordflow">if</span> (jw == iw) jw++;</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; }</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keywordtype">double</span> delta_cost = obj-&gt;cost_update (perm, iw, jw);</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordflow">if</span> (delta_cost &lt; 0 || rnd-&gt;rand_float () &lt; temperature) {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; std::swap (perm[iw], perm[jw]);</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; cost += delta_cost;</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; n_swap++;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">if</span> (delta_cost &gt;= 0) n_hot++;</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="keywordflow">if</span> (verbose &gt; 2 || (verbose &gt; 1 &amp;&amp; it % 10000 == 0)) {</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; printf (<span class="stringliteral">&quot; iteration %d cost %g temp %g n_swap %d &quot;</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="stringliteral">&quot;(%d hot) \r&quot;</span>,</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; it, cost, temperature, n_swap, n_hot);</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; fflush(stdout);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; }</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">if</span> (logfile) {</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; fprintf (logfile, <span class="stringliteral">&quot;%d %g %g %d %d\n&quot;</span>,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; it, cost, temperature, n_swap, n_hot);</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; }</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; }</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <span class="keywordflow">if</span> (verbose &gt; 1) printf(<span class="stringliteral">&quot;\n&quot;</span>);</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">return</span> cost;</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;}</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<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;<span class="comment">/****************************************************</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="comment"> * Cost functions: ReproduceDistanceTable</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;<span class="comment"> ****************************************************/</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;<span class="keyword">static</span> <span class="keyword">inline</span> <span class="keywordtype">int</span> hamming_dis (uint64_t a, uint64_t b)</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;{</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">return</span> __builtin_popcountl (a ^ b);</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;}</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;<span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;<span class="comment">/// optimize permutation to reproduce a distance table with Hamming distances</span></div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;<span class="comment"></span><span class="keyword">struct </span>ReproduceWithHammingObjective : PermutationObjective {</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordtype">int</span> nbits;</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keywordtype">double</span> dis_weight_factor;</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</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="l00183"></a><span class="lineno"> 183</span>&#160;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="comment">// weihgting of distances: it is more important to reproduce small</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; <span class="comment">// distances well</span></div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</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="l00188"></a><span class="lineno"> 188</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keywordflow">return</span> exp (-dis_weight_factor * x);</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; }</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; std::vector&lt;double&gt; target_dis; <span class="comment">// wanted distances (size n^2)</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; std::vector&lt;double&gt; weights; <span class="comment">// weights for each distance (size n^2)</span></div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <span class="comment">// cost = quadratic difference between actual distance and Hamming distance</span></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <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="l00197"></a><span class="lineno"> 197</span>&#160; <span class="keywordtype">double</span> cost = 0;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; <span class="keywordtype">double</span> wanted = target_dis[i * n + j];</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordtype">double</span> w = weights[i * n + j];</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="keywordtype">double</span> actual = hamming_dis(perm[i], perm[j]);</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; cost += w * sqr(wanted - actual);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; }</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; }</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; <span class="keywordflow">return</span> cost;</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; }</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; <span class="comment">// what would the cost update be if iw and jw were swapped?</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</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="l00212"></a><span class="lineno"> 212</span>&#160; <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="l00213"></a><span class="lineno"> 213</span>&#160; <span class="keywordtype">double</span> delta_cost = 0;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160;</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">if</span> (i == iw) {</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="keywordtype">double</span> wanted = target_dis[i * n + j], w = weights[i * n + j];</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; <span class="keywordtype">double</span> actual = hamming_dis(perm[i], perm[j]);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; delta_cost -= w * sqr(wanted - actual);</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; <span class="keywordtype">double</span> new_actual =</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; hamming_dis(perm[jw], perm[j == iw ? jw : j == jw ? iw : j]);</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; delta_cost += w * sqr(wanted - new_actual);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; }</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (i == jw) {</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keywordtype">double</span> wanted = target_dis[i * n + j], w = weights[i * n + j];</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keywordtype">double</span> actual = hamming_dis(perm[i], perm[j]);</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; delta_cost -= w * sqr(wanted - actual);</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <span class="keywordtype">double</span> new_actual =</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; hamming_dis(perm[iw], perm[j == iw ? jw : j == jw ? iw : j]);</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; delta_cost += w * sqr(wanted - new_actual);</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; }</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; <span class="keywordtype">int</span> j = iw;</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; <span class="keywordtype">double</span> wanted = target_dis[i * n + j], w = weights[i * n + j];</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <span class="keywordtype">double</span> actual = hamming_dis(perm[i], perm[j]);</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; delta_cost -= w * sqr(wanted - actual);</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <span class="keywordtype">double</span> new_actual = hamming_dis(perm[i], perm[jw]);</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; delta_cost += w * sqr(wanted - new_actual);</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; }</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; j = jw;</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; {</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <span class="keywordtype">double</span> wanted = target_dis[i * n + j], w = weights[i * n + j];</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <span class="keywordtype">double</span> actual = hamming_dis(perm[i], perm[j]);</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; delta_cost -= w * sqr(wanted - actual);</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordtype">double</span> new_actual = hamming_dis(perm[i], perm[iw]);</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; delta_cost += w * sqr(wanted - new_actual);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; }</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; }</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; }</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; <span class="keywordflow">return</span> delta_cost;</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>&#160;</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>&#160;</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>&#160; ReproduceWithHammingObjective (</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>&#160; <span class="keywordtype">int</span> nbits,</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160; <span class="keyword">const</span> std::vector&lt;double&gt; &amp; dis_table,</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <span class="keywordtype">double</span> dis_weight_factor):</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; nbits (nbits), dis_weight_factor (dis_weight_factor)</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; {</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; n = 1 &lt;&lt; nbits;</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160; FAISS_THROW_IF_NOT (dis_table.size() == n * n);</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; set_affine_target_dis (dis_table);</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; }</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160;</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; <span class="keywordtype">void</span> set_affine_target_dis (<span class="keyword">const</span> std::vector&lt;double&gt; &amp; dis_table)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; {</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; <span class="keywordtype">double</span> sum = 0, sum2 = 0;</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; <span class="keywordtype">int</span> n2 = n * n;</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n2; i++) {</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; sum += dis_table [i];</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160; sum2 += dis_table [i] * dis_table [i];</div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; }</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; <span class="keywordtype">double</span> mean = sum / n2;</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; <span class="keywordtype">double</span> stddev = sqrt(sum2 / n2 - (sum / n2) * (sum / n2));</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160;</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; target_dis.resize (n2);</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160;</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n2; i++) {</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; <span class="comment">// the mapping function</span></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; <span class="keywordtype">double</span> td = (dis_table [i] - mean) / stddev * sqrt(nbits / 4) +</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; nbits / 2;</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160; target_dis[i] = td;</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="comment">// compute a weight</span></div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; weights.push_back (dis_weight (td));</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; }</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160;</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; }</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; ~ReproduceWithHammingObjective()<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;};</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160;</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160;</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160;<span class="comment">// weihgting of distances: it is more important to reproduce small</span></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160;<span class="comment">// distances well</span></div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160;<span class="keywordtype">double</span> ReproduceDistancesObjective::dis_weight (<span class="keywordtype">double</span> x)<span class="keyword"> const</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="keywordflow">return</span> exp (-dis_weight_factor * x);</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160;}</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160;</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160;<span class="keywordtype">double</span> ReproduceDistancesObjective::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="l00308"></a><span class="lineno"> 308</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">return</span> <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b">source_dis</a> [i * n + j];</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;}</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160;</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160;<span class="comment">// cost = quadratic difference between actual distance and Hamming distance</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160;<span class="keywordtype">double</span> ReproduceDistancesObjective::compute_cost (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm)<span class="keyword"> const</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; <span class="keywordtype">double</span> cost = 0;</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="keywordtype">double</span> wanted = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a> [i * n + j];</div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; <span class="keywordtype">double</span> w = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i * n + j];</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; <span class="keywordtype">double</span> actual = get_source_dis (perm[i], perm[j]);</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; cost += w * sqr (wanted - actual);</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160; }</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; }</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <span class="keywordflow">return</span> cost;</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;}</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160;</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160;<span class="comment">// what would the cost update be if iw and jw were swapped?</span></div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</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="l00329"></a><span class="lineno"> 329</span>&#160;<span class="keywordtype">double</span> ReproduceDistancesObjective::cost_update(</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160; <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="l00331"></a><span class="lineno"> 331</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; <span class="keywordtype">double</span> delta_cost = 0;</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; <span class="keywordflow">if</span> (i == iw) {</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; <span class="keywordtype">double</span> wanted = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a> [i * n + j],</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; w = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i * n + j];</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; <span class="keywordtype">double</span> actual = get_source_dis (perm[i], perm[j]);</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; delta_cost -= w * sqr (wanted - actual);</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="keywordtype">double</span> new_actual = get_source_dis (</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; perm[jw],</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; perm[j == iw ? jw : j == jw ? iw : j]);</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; delta_cost += w * sqr (wanted - new_actual);</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; }</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (i == jw) {</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; <span class="keywordtype">double</span> wanted = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a> [i * n + j],</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; w = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i * n + j];</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; <span class="keywordtype">double</span> actual = get_source_dis (perm[i], perm[j]);</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160; delta_cost -= w * sqr (wanted - actual);</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordtype">double</span> new_actual = get_source_dis (</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; perm[iw],</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160; perm[j == iw ? jw : j == jw ? iw : j]);</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; delta_cost += w * sqr (wanted - new_actual);</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; }</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; <span class="keywordtype">int</span> j = iw;</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; {</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; <span class="keywordtype">double</span> wanted = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a> [i * n + j],</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; w = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i * n + j];</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; <span class="keywordtype">double</span> actual = get_source_dis (perm[i], perm[j]);</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; delta_cost -= w * sqr (wanted - actual);</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; <span class="keywordtype">double</span> new_actual = get_source_dis (perm[i], perm[jw]);</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; delta_cost += w * sqr (wanted - new_actual);</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; }</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; j = jw;</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; {</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="keywordtype">double</span> wanted = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a> [i * n + j],</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; w = <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i * n + j];</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; <span class="keywordtype">double</span> actual = get_source_dis (perm[i], perm[j]);</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; delta_cost -= w * sqr (wanted - actual);</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160; <span class="keywordtype">double</span> new_actual = get_source_dis (perm[i], perm[iw]);</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; delta_cost += w * sqr (wanted - new_actual);</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; }</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; }</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>&#160; }</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; <span class="keywordflow">return</span> delta_cost;</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160;}</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160;</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160;ReproduceDistancesObjective::ReproduceDistancesObjective (</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; <span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *source_dis_in,</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *target_dis_in,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <span class="keywordtype">double</span> dis_weight_factor):</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; dis_weight_factor (dis_weight_factor),</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; target_dis (target_dis_in)</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;{</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; this-&gt;n = <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#a90edfc401372aa1a2a832b403e26bfd1">n</a>;</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; set_affine_target_dis (source_dis_in);</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160;}</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160;<span class="keywordtype">void</span> ReproduceDistancesObjective::compute_mean_stdev (</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *tab, <span class="keywordtype">size_t</span> n2,</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keywordtype">double</span> *mean_out, <span class="keywordtype">double</span> *stddev_out)</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160;{</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; <span class="keywordtype">double</span> sum = 0, sum2 = 0;</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n2; i++) {</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; sum += tab [i];</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; sum2 += tab [i] * tab [i];</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; }</div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; <span class="keywordtype">double</span> mean = sum / n2;</div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160; <span class="keywordtype">double</span> stddev = sqrt(sum2 / n2 - (sum / n2) * (sum / n2));</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; *mean_out = mean;</div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; *stddev_out = stddev;</div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;}</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160;</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;<span class="keywordtype">void</span> ReproduceDistancesObjective::set_affine_target_dis (</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <span class="keyword">const</span> <span class="keywordtype">double</span> *source_dis_in)</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;{</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordtype">int</span> n2 = n * n;</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="keywordtype">double</span> mean_src, stddev_src;</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; compute_mean_stdev (source_dis_in, n2, &amp;mean_src, &amp;stddev_src);</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; <span class="keywordtype">double</span> mean_target, stddev_target;</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; compute_mean_stdev (<a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a>, n2, &amp;mean_target, &amp;stddev_target);</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160;</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; printf (<span class="stringliteral">&quot;map mean %g std %g -&gt; mean %g std %g\n&quot;</span>,</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; mean_src, stddev_src, mean_target, stddev_target);</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160;</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b">source_dis</a>.resize (n2);</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a>.resize (n2);</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160;</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n2; i++) {</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; <span class="comment">// the mapping function</span></div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a6681846eb7751b32a907d075fff6770b">source_dis</a>[i] = (source_dis_in[i] - mean_src) / stddev_src</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; * stddev_target + mean_target;</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160;</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; <span class="comment">// compute a weight</span></div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; <a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#a982332b44ff32b9ae9694e374acd0aff">weights</a> [i] = dis_weight (<a class="code" href="structfaiss_1_1ReproduceDistancesObjective.html#ac99d739f81e13e841ba7d81d90629aef">target_dis</a>[i]);</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; }</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160;</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160;}</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160;</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160;<span class="comment">/****************************************************</span></div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160;<span class="comment"> * Cost functions: RankingScore</span></div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160;<span class="comment"> ****************************************************/</span></div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160;<span class="comment">/// Maintains a 3D table of elementary costs.</span></div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160;<span class="comment">/// Accumulates elements based on Hamming distance comparisons</span></div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160;<span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">typename</span> Ttab, <span class="keyword">typename</span> Taccu&gt;</div>
<div class="line"><a name="l00444"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html"> 444</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1Score3Computer.html">Score3Computer</a>: <a class="code" href="structfaiss_1_1PermutationObjective.html">PermutationObjective</a> {</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160;</div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <span class="keywordtype">int</span> nc;</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160;</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; <span class="comment">// cost matrix of size nc * nc *nc</span></div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="comment">// n_gt (i,j,k) = count of d_gt(x, y-) &lt; d_gt(x, y+)</span></div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; <span class="comment">// where x has PQ code i, y- PQ code j and y+ PQ code k</span></div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; std::vector&lt;Ttab&gt; n_gt;</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160;</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>&#160;<span class="comment"> /// the cost is a triple loop on the nc * nc * nc matrix of entries.</span></div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;<span class="comment"> ///</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#a07a726903418960a2d8000506d88f8e6"> 456</a></span>&#160;<span class="comment"></span> Taccu <a class="code" href="structfaiss_1_1Score3Computer.html#a07a726903418960a2d8000506d88f8e6">compute</a> (<span class="keyword">const</span> <span class="keywordtype">int</span> * perm)<span class="keyword"> const</span></div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <span class="keyword">const</span> Ttab *p = n_gt.data();</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nc; i++) {</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; <span class="keywordtype">int</span> ip = perm [i];</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nc; j++) {</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <span class="keywordtype">int</span> jp = perm [j];</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k &lt; nc; k++) {</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; <span class="keywordtype">int</span> kp = perm [k];</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip, jp) &lt;</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; hamming_dis (ip, kp)) {</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; accu += *p; <span class="comment">// n_gt [ ( i * nc + j) * nc + k];</span></div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; }</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; p++;</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; }</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; }</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; }</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; }</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;<span class="comment"> /** cost update if entries iw and jw of the permutation would be</span></div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160;<span class="comment"> * swapped.</span></div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160;<span class="comment"> * The computation is optimized by avoiding elements in the</span></div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160;<span class="comment"> * nc*nc*nc cube that are known not to change. For nc=256, this</span></div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;<span class="comment"> * reduces the nb of cells to visit to about 6/256 th of the</span></div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160;<span class="comment"> * cells. Practical speedup is about 8x, and the code is quite</span></div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;<span class="comment"> * complex :-/</span></div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00487"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#a567feac7ddd3bb467a9ed30671caccb1"> 487</a></span>&#160; Taccu <a class="code" href="structfaiss_1_1Score3Computer.html#a567feac7ddd3bb467a9ed30671caccb1">compute_update</a> (<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="l00488"></a><span class="lineno"> 488</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; assert (iw != jw);</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; <span class="keywordflow">if</span> (iw &gt; jw) std::swap (iw, jw);</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160;</div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; <span class="keyword">const</span> Ttab * n_gt_i = n_gt.data();</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nc; i++) {</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <span class="keywordtype">int</span> ip0 = perm [i];</div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; <span class="keywordtype">int</span> ip = perm [i == iw ? jw : i == jw ? iw : i];</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;</div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="comment">//accu += update_i (perm, iw, jw, ip0, ip, n_gt_i);</span></div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; accu += <a class="code" href="structfaiss_1_1Score3Computer.html#acf371848bac76ba275ceb5e10f805d33">update_i_cross</a> (perm, iw, jw,</div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; ip0, ip, n_gt_i);</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160;</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <span class="keywordflow">if</span> (ip != ip0)</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160; accu += update_i_plane (perm, iw, jw,</div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; ip0, ip, n_gt_i);</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; n_gt_i += nc * nc;</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; }</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160;</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; }</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160;</div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160;</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; Taccu update_i (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> iw, <span class="keywordtype">int</span> jw,</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="keywordtype">int</span> ip0, <span class="keywordtype">int</span> ip, <span class="keyword">const</span> Ttab * n_gt_i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <span class="keyword">const</span> Ttab *n_gt_ij = n_gt_i;</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nc; j++) {</div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; <span class="keywordtype">int</span> jp0 = perm[j];</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; <span class="keywordtype">int</span> jp = perm [j == iw ? jw : j == jw ? iw : j];</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k &lt; nc; k++) {</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <span class="keywordtype">int</span> kp0 = perm [k];</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; <span class="keywordtype">int</span> kp = perm [k == iw ? jw : k == jw ? iw : k];</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; <span class="keywordtype">int</span> ng = n_gt_ij [k];</div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip, jp) &lt; hamming_dis (ip, kp)) {</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; accu += ng;</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; }</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip0, jp0) &lt; hamming_dis (ip0, kp0)) {</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; accu -= ng;</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; }</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; }</div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; n_gt_ij += nc;</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; }</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; }</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160;</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; <span class="comment">// 2 inner loops for the case ip0 != ip</span></div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; Taccu update_i_plane (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> iw, <span class="keywordtype">int</span> jw,</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160; <span class="keywordtype">int</span> ip0, <span class="keywordtype">int</span> ip, <span class="keyword">const</span> Ttab * n_gt_i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; <span class="keyword">const</span> Ttab *n_gt_ij = n_gt_i;</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160;</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nc; j++) {</div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; <span class="keywordflow">if</span> (j != iw &amp;&amp; j != jw) {</div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; <span class="keywordtype">int</span> jp = perm[j];</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k &lt; nc; k++) {</div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="keywordflow">if</span> (k != iw &amp;&amp; k != jw) {</div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordtype">int</span> kp = perm [k];</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; Ttab ng = n_gt_ij [k];</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip, jp) &lt; hamming_dis (ip, kp)) {</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; accu += ng;</div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; }</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip0, jp) &lt; hamming_dis (ip0, kp)) {</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; accu -= ng;</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; }</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; }</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; }</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; }</div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; n_gt_ij += nc;</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; }</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160; }</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160;<span class="comment"> /// used for the 8 cells were the 3 indices are swapped</span></div>
<div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#a227601c3dc8779bb13747ba04934e0c8"> 567</a></span>&#160;<span class="comment"></span> <span class="keyword">inline</span> Taccu <a class="code" href="structfaiss_1_1Score3Computer.html#a227601c3dc8779bb13747ba04934e0c8">update_k</a> (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> iw, <span class="keywordtype">int</span> jw,</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; <span class="keywordtype">int</span> ip0, <span class="keywordtype">int</span> ip, <span class="keywordtype">int</span> jp0, <span class="keywordtype">int</span> jp,</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; <span class="keyword">const</span> Ttab * n_gt_ij)<span class="keyword"> const</span></div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; <span class="keywordtype">int</span> kp0 = perm [k];</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; <span class="keywordtype">int</span> kp = perm [k == iw ? jw : k == jw ? iw : k];</div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160; Ttab ng = n_gt_ij [k];</div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip, jp) &lt; hamming_dis (ip, kp)) {</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; accu += ng;</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; }</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip0, jp0) &lt; hamming_dis (ip0, kp0)) {</div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; accu -= ng;</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; }</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; }</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160;<span class="comment"> /// compute update on a line of k&#39;s, where i and j are swapped</span></div>
<div class="line"><a name="l00586"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#a98da6005edbb5ec26311bc947866122d"> 586</a></span>&#160;<span class="comment"></span> Taccu <a class="code" href="structfaiss_1_1Score3Computer.html#a98da6005edbb5ec26311bc947866122d">update_j_line</a> (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> iw, <span class="keywordtype">int</span> jw,</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; <span class="keywordtype">int</span> ip0, <span class="keywordtype">int</span> ip, <span class="keywordtype">int</span> jp0, <span class="keywordtype">int</span> jp,</div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <span class="keyword">const</span> Ttab * n_gt_ij)<span class="keyword"> const</span></div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k &lt; nc; k++) {</div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <span class="keywordflow">if</span> (k == iw || k == jw) <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <span class="keywordtype">int</span> kp = perm [k];</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; Ttab ng = n_gt_ij [k];</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip, jp) &lt; hamming_dis (ip, kp)) {</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; accu += ng;</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160; }</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <span class="keywordflow">if</span> (hamming_dis (ip0, jp0) &lt; hamming_dis (ip0, kp)) {</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; accu -= ng;</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; }</div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; }</div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; }</div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160;</div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160;<span class="comment"> /// considers the 2 pairs of crossing lines j=iw or jw and k = iw or kw</span></div>
<div class="line"><a name="l00607"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#acf371848bac76ba275ceb5e10f805d33"> 607</a></span>&#160;<span class="comment"></span> Taccu <a class="code" href="structfaiss_1_1Score3Computer.html#acf371848bac76ba275ceb5e10f805d33">update_i_cross</a> (<span class="keyword">const</span> <span class="keywordtype">int</span> *perm, <span class="keywordtype">int</span> iw, <span class="keywordtype">int</span> jw,</div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160; <span class="keywordtype">int</span> ip0, <span class="keywordtype">int</span> ip, <span class="keyword">const</span> Ttab * n_gt_i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160;<span class="keyword"> </span>{</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; Taccu accu = 0;</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; <span class="keyword">const</span> Ttab *n_gt_ij = n_gt_i;</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160;</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nc; j++) {</div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; <span class="keywordtype">int</span> jp0 = perm[j];</div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; <span class="keywordtype">int</span> jp = perm [j == iw ? jw : j == jw ? iw : j];</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160;</div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; accu += <a class="code" href="structfaiss_1_1Score3Computer.html#a227601c3dc8779bb13747ba04934e0c8">update_k</a> (perm, iw, jw, ip0, ip, jp0, jp, iw, n_gt_ij);</div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; accu += <a class="code" href="structfaiss_1_1Score3Computer.html#a227601c3dc8779bb13747ba04934e0c8">update_k</a> (perm, iw, jw, ip0, ip, jp0, jp, jw, n_gt_ij);</div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160;</div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160; <span class="keywordflow">if</span> (jp != jp0)</div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; accu += <a class="code" href="structfaiss_1_1Score3Computer.html#a98da6005edbb5ec26311bc947866122d">update_j_line</a> (perm, iw, jw, ip0, ip, jp0, jp, n_gt_ij);</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160;</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160; n_gt_ij += nc;</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; }</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160; }</div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160;</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160;<span class="comment"> /// PermutationObjective implementeation (just negates the scores</span></div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160;<span class="comment"> /// for minimization)</span></div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00632"></a><span class="lineno"><a class="line" href="structfaiss_1_1Score3Computer.html#a1c4537d67802aef28ccc57c4bd87f766"> 632</a></span>&#160; <span class="keywordtype">double</span> <a class="code" href="structfaiss_1_1Score3Computer.html#a1c4537d67802aef28ccc57c4bd87f766">compute_cost</a>(<span class="keyword">const</span> <span class="keywordtype">int</span>* perm)<span class="keyword"> const override </span>{</div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160; <span class="keywordflow">return</span> -<a class="code" href="structfaiss_1_1Score3Computer.html#a07a726903418960a2d8000506d88f8e6">compute</a>(perm);</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; }</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160;</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; <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="l00637"></a><span class="lineno"> 637</span>&#160; <span class="keywordtype">double</span> ret = -<a class="code" href="structfaiss_1_1Score3Computer.html#a567feac7ddd3bb467a9ed30671caccb1">compute_update</a>(perm, iw, jw);</div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; <span class="keywordflow">return</span> ret;</div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160; }</div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>&#160;</div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>&#160; ~Score3Computer()<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>&#160;};</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>&#160;</div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160;</div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160;</div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160;</div>
<div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="structfaiss_1_1IndirectSort.html"> 648</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1IndirectSort.html">IndirectSort</a> {</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *tab;</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <span class="keywordtype">bool</span> operator () (<span class="keywordtype">int</span> a, <span class="keywordtype">int</span> b) {<span class="keywordflow">return</span> tab[a] &lt; tab[b]; }</div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160;};</div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160;</div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160;</div>
<div class="line"><a name="l00655"></a><span class="lineno"><a class="line" href="structfaiss_1_1RankingScore2.html"> 655</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1RankingScore2.html">RankingScore2</a>: <a class="code" href="structfaiss_1_1Score3Computer.html">Score3Computer</a>&lt;float, double&gt; {</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; <span class="keywordtype">int</span> nbits;</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; <span class="keywordtype">int</span> nq, nb;</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; <span class="keyword">const</span> uint32_t *qcodes, *bcodes;</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *gt_distances;</div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160;</div>
<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160; <a class="code" href="structfaiss_1_1RankingScore2.html">RankingScore2</a> (<span class="keywordtype">int</span> nbits, <span class="keywordtype">int</span> nq, <span class="keywordtype">int</span> nb,</div>
<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; <span class="keyword">const</span> uint32_t *qcodes, <span class="keyword">const</span> uint32_t *bcodes,</div>
<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *gt_distances):</div>
<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160; nbits(nbits), nq(nq), nb(nb), qcodes(qcodes),</div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; bcodes(bcodes), gt_distances(gt_distances)</div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; {</div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160; n = nc = 1 &lt;&lt; nbits;</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; n_gt.resize (nc * nc * nc);</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; init_n_gt ();</div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; }</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160;</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160;</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; <span class="keywordtype">double</span> rank_weight (<span class="keywordtype">int</span> r)</div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; {</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; <span class="keywordflow">return</span> 1.0 / (r + 1);</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; }</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160;<span class="comment"> /// count nb of i, j in a x b st. i &lt; j</span></div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160;<span class="comment"> /// a and b should be sorted on input</span></div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160;<span class="comment"> /// they are the ranks of j and k respectively.</span></div>
<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;<span class="comment"> /// specific version for diff-of-rank weighting, cannot optimized</span></div>
<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160;<span class="comment"> /// with a cumulative table</span></div>
<div class="line"><a name="l00683"></a><span class="lineno"><a class="line" href="structfaiss_1_1RankingScore2.html#a16c753a4136b3c851ea81133a26a02da"> 683</a></span>&#160;<span class="comment"></span> <span class="keywordtype">double</span> <a class="code" href="structfaiss_1_1RankingScore2.html#a16c753a4136b3c851ea81133a26a02da">accum_gt_weight_diff</a> (<span class="keyword">const</span> std::vector&lt;int&gt; &amp; a,</div>
<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; <span class="keyword">const</span> std::vector&lt;int&gt; &amp; b)</div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; {</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <span class="keywordtype">int</span> nb = b.size(), na = a.size();</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160;</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; <span class="keywordtype">double</span> accu = 0;</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; <span class="keywordtype">int</span> j = 0;</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; na; i++) {</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; <span class="keywordtype">int</span> ai = a[i];</div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; <span class="keywordflow">while</span> (j &lt; nb &amp;&amp; ai &gt;= b[j]) j++;</div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160;</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; <span class="keywordtype">double</span> accu_i = 0;</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = j; k &lt; b.size(); k++)</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; accu_i += rank_weight (b[k] - ai);</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160;</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; accu += rank_weight (ai) * accu_i;</div>
<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160;</div>
<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; }</div>
<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <span class="keywordflow">return</span> accu;</div>
<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160; }</div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160;</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; <span class="keywordtype">void</span> init_n_gt ()</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; {</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> q = 0; q &lt; nq; q++) {</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *gtd = gt_distances + q * nb;</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; <span class="keyword">const</span> uint32_t *cb = bcodes;<span class="comment">// all same codes</span></div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; <span class="keywordtype">float</span> * n_gt_q = &amp; n_gt [qcodes[q] * nc * nc];</div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160;</div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; printf(<span class="stringliteral">&quot;init gt for q=%d/%d \r&quot;</span>, q, nq); fflush(stdout);</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160;</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; std::vector&lt;int&gt; rankv (nb);</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; <span class="keywordtype">int</span> * ranks = rankv.data();</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>&#160; <span class="comment">// elements in each code bin, ordered by rank within each bin</span></div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>&#160; std::vector&lt;std::vector&lt;int&gt; &gt; tab (nc);</div>
<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>&#160;</div>
<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>&#160; { <span class="comment">// build rank table</span></div>
<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>&#160; <a class="code" href="structfaiss_1_1IndirectSort.html">IndirectSort</a> s = {gtd};</div>
<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nb; j++) ranks[j] = j;</div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>&#160; std::sort (ranks, ranks + nb, s);</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>&#160; }</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>&#160;</div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> rank = 0; rank &lt; nb; rank++) {</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>&#160; <span class="keywordtype">int</span> i = ranks [rank];</div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>&#160; tab [cb[i]].push_back (rank);</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>&#160; }</div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>&#160;</div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>&#160;</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>&#160; <span class="comment">// this is very expensive. Any suggestion for improvement</span></div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>&#160; <span class="comment">// welcome.</span></div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nc; i++) {</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>&#160; std::vector&lt;int&gt; &amp; di = tab[i];</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; nc; j++) {</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>&#160; std::vector&lt;int&gt; &amp; dj = tab[j];</div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>&#160; n_gt_q [i * nc + j] += <a class="code" href="structfaiss_1_1RankingScore2.html#a16c753a4136b3c851ea81133a26a02da">accum_gt_weight_diff</a> (di, dj);</div>
<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>&#160;</div>
<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>&#160; }</div>
<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>&#160; }</div>
<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>&#160;</div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>&#160; }</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>&#160;</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>&#160; }</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>&#160;</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>&#160;};</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>&#160;</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>&#160;</div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160;<span class="comment">/*****************************************</span></div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160;<span class="comment"> * PolysemousTraining</span></div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160;<span class="comment"> ******************************************/</span></div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160;</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160;</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160;PolysemousTraining::PolysemousTraining ()</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160;{</div>
<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; optimization_type = <a class="code" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23">OT_ReproduceDistances_affine</a>;</div>
<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; ntrain_permutation = 0;</div>
<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; dis_weight_factor = log(2);</div>
<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160;}</div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160;</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160;</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160;</div>
<div class="line"><a name="l00764"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#a6989e2b573d4368e7f863edbbb2f00b8"> 764</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1PolysemousTraining.html#a6989e2b573d4368e7f863edbbb2f00b8">PolysemousTraining::optimize_reproduce_distances</a> (</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; <a class="code" href="structfaiss_1_1ProductQuantizer.html">ProductQuantizer</a> &amp;pq)<span class="keyword"> const</span></div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>&#160;</div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; <span class="keywordtype">int</span> dsub = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a467b451ca203544e42c250e4be65b983">dsub</a>;</div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160;</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>&#160; <span class="keywordtype">int</span> n = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">ksub</a>;</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; <span class="keywordtype">int</span> nbits = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">nbits</a>;</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160;</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160;<span class="preprocessor"></span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m &lt; pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a83600e328893ce5f41fe459f5a3acf41">M</a>; m++) {</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; std::vector&lt;double&gt; dis_table;</div>
<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160;</div>
<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; <span class="comment">// printf (&quot;Optimizing quantizer %d\n&quot;, m);</span></div>
<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160;</div>
<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>&#160; <span class="keywordtype">float</span> * centroids = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a4f0f33c011dffe633a1748a48a082c22">get_centroids</a> (m, 0);</div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160;</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++) {</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j &lt; n; j++) {</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; dis_table.push_back (<a class="code" href="namespacefaiss.html#a7466bd32de31640860393a701eaac5ad">fvec_L2sqr</a> (centroids + i * dsub,</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; centroids + j * dsub,</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; dsub));</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; }</div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; }</div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160;</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; std::vector&lt;int&gt; perm (n);</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; ReproduceWithHammingObjective obj (</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; nbits, dis_table,</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160; dis_weight_factor);</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160;</div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160;</div>
<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html">SimulatedAnnealingOptimizer</a> optim (&amp;obj, *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160;</div>
<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; <span class="keywordflow">if</span> (log_pattern.size()) {</div>
<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; <span class="keywordtype">char</span> fname[256];</div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; snprintf (fname, 256, log_pattern.c_str(), m);</div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>&#160; printf (<span class="stringliteral">&quot;opening log file %s\n&quot;</span>, fname);</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; optim.logfile = fopen (fname, <span class="stringliteral">&quot;w&quot;</span>);</div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; FAISS_THROW_IF_NOT_MSG (optim.logfile, <span class="stringliteral">&quot;could not open logfile&quot;</span>);</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160; }</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; <span class="keywordtype">double</span> final_cost = optim.run_optimization (perm.data());</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160;</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; <span class="keywordflow">if</span> (verbose &gt; 0) {</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; printf (<span class="stringliteral">&quot;SimulatedAnnealingOptimizer for m=%d: %g -&gt; %g\n&quot;</span>,</div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; m, optim.<a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b">init_cost</a>, final_cost);</div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; }</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160;</div>
<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; <span class="keywordflow">if</span> (log_pattern.size()) fclose (optim.logfile);</div>
<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160;</div>
<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>&#160; std::vector&lt;float&gt; centroids_copy;</div>
<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; dsub * n; i++)</div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; centroids_copy.push_back (centroids[i]);</div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160;</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160; memcpy (centroids + perm[i] * dsub,</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>&#160; centroids_copy.data() + i * dsub,</div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>&#160; dsub * <span class="keyword">sizeof</span>(centroids[0]));</div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span>&#160;</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>&#160; }</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span>&#160;</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span>&#160;}</div>
<div class="line"><a name="l00825"></a><span class="lineno"> 825</span>&#160;</div>
<div class="line"><a name="l00826"></a><span class="lineno"> 826</span>&#160;</div>
<div class="line"><a name="l00827"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#a0ac61389b6fcc7f98e998d9d0cc2664a"> 827</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1PolysemousTraining.html#a0ac61389b6fcc7f98e998d9d0cc2664a">PolysemousTraining::optimize_ranking</a> (</div>
<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>&#160; <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></div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>&#160;</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>&#160; <span class="keywordtype">int</span> dsub = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a467b451ca203544e42c250e4be65b983">dsub</a>;</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>&#160;</div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>&#160; <span class="keywordtype">int</span> nbits = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">nbits</a>;</div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>&#160;</div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>&#160; std::vector&lt;uint8_t&gt; all_codes (pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aa61330eadb84772b71018b093773a5f9">code_size</a> * n);</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>&#160;</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>&#160; pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ae5a340ee5a4b1d35a565b167de2a2ef1">compute_codes</a> (x, all_codes.data(), n);</div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>&#160;</div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>&#160; FAISS_THROW_IF_NOT (pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">nbits</a> == 8);</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>&#160;</div>
<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>&#160; <span class="keywordflow">if</span> (n == 0)</div>
<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>&#160; pq.compute_sdc_table ();</div>
<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>&#160;</div>
<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>&#160;<span class="preprocessor">#pragma omp parallel for</span></div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>&#160;<span class="preprocessor"></span> <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m &lt; pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a83600e328893ce5f41fe459f5a3acf41">M</a>; m++) {</div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>&#160; <span class="keywordtype">size_t</span> nq, nb;</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>&#160; std::vector &lt;uint32_t&gt; codes; <span class="comment">// query codes, then db codes</span></div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>&#160; std::vector &lt;float&gt; gt_distances; <span class="comment">// nq * nb matrix of distances</span></div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>&#160;</div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>&#160; <span class="keywordflow">if</span> (n &gt; 0) {</div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span>&#160; std::vector&lt;float&gt; xtrain (n * dsub);</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span>&#160; memcpy (xtrain.data() + i * dsub,</div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span>&#160; x + i * pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a567cd512438f9e3404d9339a232d7695">d</a> + m * dsub,</div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span>&#160; <span class="keyword">sizeof</span>(float) * dsub);</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span>&#160;</div>
<div class="line"><a name="l00857"></a><span class="lineno"> 857</span>&#160; codes.resize (n);</div>
<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; n; i++)</div>
<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>&#160; codes [i] = all_codes [i * pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#aa61330eadb84772b71018b093773a5f9">code_size</a> + m];</div>
<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>&#160;</div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>&#160; nq = n / 4; nb = n - nq;</div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *xq = xtrain.data();</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> *xb = xq + nq * dsub;</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>&#160;</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>&#160; gt_distances.resize (nq * nb);</div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>&#160;</div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>&#160; <a class="code" href="namespacefaiss.html#a3d9c7db82d43c1f0ab1d28b92bc9fe57">pairwise_L2sqr</a> (dsub,</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>&#160; nq, xq,</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>&#160; nb, xb,</div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>&#160; gt_distances.data());</div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>&#160; nq = nb = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">ksub</a>;</div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>&#160; codes.resize (2 * nq);</div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; nq; i++)</div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>&#160; codes[i] = codes [i + nq] = i;</div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>&#160;</div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>&#160; gt_distances.resize (nq * nb);</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>&#160;</div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>&#160; memcpy (gt_distances.data (),</div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>&#160; pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a6bd65fb4407452f73acb7242931d09e4">sdc_table</a>.data () + m * nq * nb,</div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>&#160; <span class="keyword">sizeof</span> (float) * nq * nb);</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>&#160; }</div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>&#160;</div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>&#160; <span class="keywordtype">double</span> t0 = <a class="code" href="namespacefaiss.html#af2a71f7d5402ae02ce169a4cc83020eb">getmillisecs</a> ();</div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>&#160;</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>&#160; <a class="code" href="structfaiss_1_1PermutationObjective.html">PermutationObjective</a> *obj = <span class="keyword">new</span> <a class="code" href="structfaiss_1_1RankingScore2.html">RankingScore2</a> (</div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>&#160; nbits, nq, nb,</div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>&#160; codes.data(), codes.data() + nq,</div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>&#160; gt_distances.data ());</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>&#160; <a class="code" href="structfaiss_1_1ScopeDeleter1.html">ScopeDeleter1&lt;PermutationObjective&gt;</a> del (obj);</div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>&#160;</div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>&#160; <span class="keywordflow">if</span> (verbose &gt; 0) {</div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>&#160; printf(<span class="stringliteral">&quot; m=%d, nq=%ld, nb=%ld, intialize RankingScore &quot;</span></div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>&#160; <span class="stringliteral">&quot;in %.3f ms\n&quot;</span>,</div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>&#160; m, nq, nb, <a class="code" href="namespacefaiss.html#af2a71f7d5402ae02ce169a4cc83020eb">getmillisecs</a> () - t0);</div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>&#160; }</div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>&#160;</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>&#160; <a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html">SimulatedAnnealingOptimizer</a> optim (obj, *<span class="keyword">this</span>);</div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>&#160;</div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>&#160; <span class="keywordflow">if</span> (log_pattern.size()) {</div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>&#160; <span class="keywordtype">char</span> fname[256];</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>&#160; snprintf (fname, 256, log_pattern.c_str(), m);</div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>&#160; printf (<span class="stringliteral">&quot;opening log file %s\n&quot;</span>, fname);</div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>&#160; optim.logfile = fopen (fname, <span class="stringliteral">&quot;w&quot;</span>);</div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>&#160; FAISS_THROW_IF_NOT_FMT (optim.logfile,</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>&#160; <span class="stringliteral">&quot;could not open logfile %s&quot;</span>, fname);</div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>&#160; }</div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>&#160;</div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>&#160; std::vector&lt;int&gt; perm (pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">ksub</a>);</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>&#160;</div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>&#160; <span class="keywordtype">double</span> final_cost = optim.run_optimization (perm.data());</div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>&#160; printf (<span class="stringliteral">&quot;SimulatedAnnealingOptimizer for m=%d: %g -&gt; %g\n&quot;</span>,</div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>&#160; m, optim.<a class="code" href="structfaiss_1_1SimulatedAnnealingOptimizer.html#aa8ff19f97482c6213b2a8ff3b190412b">init_cost</a>, final_cost);</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>&#160;</div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>&#160; <span class="keywordflow">if</span> (log_pattern.size()) fclose (optim.logfile);</div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>&#160;</div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>&#160; <span class="keywordtype">float</span> * centroids = pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a4f0f33c011dffe633a1748a48a082c22">get_centroids</a> (m, 0);</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>&#160;</div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>&#160; std::vector&lt;float&gt; centroids_copy;</div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; dsub * pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">ksub</a>; i++)</div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>&#160; centroids_copy.push_back (centroids[i]);</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>&#160;</div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; pq.<a class="code" href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">ksub</a>; i++)</div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>&#160; memcpy (centroids + perm[i] * dsub,</div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>&#160; centroids_copy.data() + i * dsub,</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>&#160; dsub * <span class="keyword">sizeof</span>(centroids[0]));</div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>&#160;</div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>&#160; }</div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>&#160;</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>&#160;}</div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>&#160;</div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>&#160;</div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>&#160;</div>
<div class="line"><a name="l00934"></a><span class="lineno"><a class="line" href="structfaiss_1_1PolysemousTraining.html#a995374ba2f0bc2738edae72ca9142f82"> 934</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="structfaiss_1_1PolysemousTraining.html#a995374ba2f0bc2738edae72ca9142f82">PolysemousTraining::optimize_pq_for_hamming</a> (<a class="code" href="structfaiss_1_1ProductQuantizer.html">ProductQuantizer</a> &amp;pq,</div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</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="l00936"></a><span class="lineno"> 936</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>&#160; <span class="keywordflow">if</span> (optimization_type == OT_None) {</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>&#160;</div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>&#160; } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (optimization_type == <a class="code" href="structfaiss_1_1PolysemousTraining.html#aeb5a523056697934972f95fd428f61efa4f1f59a0027c1662a7aaf66f2a78fb23">OT_ReproduceDistances_affine</a>) {</div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>&#160; <a class="code" href="structfaiss_1_1PolysemousTraining.html#a6989e2b573d4368e7f863edbbb2f00b8">optimize_reproduce_distances</a> (pq);</div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>&#160; } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>&#160; <a class="code" href="structfaiss_1_1PolysemousTraining.html#a0ac61389b6fcc7f98e998d9d0cc2664a">optimize_ranking</a> (pq, n, x);</div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>&#160; }</div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>&#160;</div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>&#160; pq.compute_sdc_table ();</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>&#160;</div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>&#160;}</div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>&#160;</div>
2017-02-23 06:26:44 +08:00
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>&#160;</div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>&#160;} <span class="comment">// namespace faiss</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#l00047">utils.h:47</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_ac920fea11f02e8407d12cc99a09f5ea5"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#ac920fea11f02e8407d12cc99a09f5ea5">faiss::ProductQuantizer::nbits</a></div><div class="ttdeci">size_t nbits</div><div class="ttdoc">number of bits per quantization index </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00029">ProductQuantizer.h:29</a></div></div>
<div class="ttc" id="namespacefaiss_html_a7466bd32de31640860393a701eaac5ad"><div class="ttname"><a href="namespacefaiss.html#a7466bd32de31640860393a701eaac5ad">faiss::fvec_L2sqr</a></div><div class="ttdeci">float fvec_L2sqr(const float *x, const float *y, size_t d)</div><div class="ttdoc">Squared L2 distance between two vectors. </div><div class="ttdef"><b>Definition:</b> <a href="utils__simd_8cpp_source.html#l00501">utils_simd.cpp:501</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_a567feac7ddd3bb467a9ed30671caccb1"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#a567feac7ddd3bb467a9ed30671caccb1">faiss::Score3Computer::compute_update</a></div><div class="ttdeci">Taccu compute_update(const int *perm, int iw, int jw) const </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00487">PolysemousTraining.cpp:487</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a6bd65fb4407452f73acb7242931d09e4"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a6bd65fb4407452f73acb7242931d09e4">faiss::ProductQuantizer::sdc_table</a></div><div class="ttdeci">std::vector&lt; float &gt; sdc_table</div><div class="ttdoc">Symmetric Distance Table. </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00165">ProductQuantizer.h:165</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_1ScopeDeleter1_html"><div class="ttname"><a href="structfaiss_1_1ScopeDeleter1.html">faiss::ScopeDeleter1</a></div><div class="ttdef"><b>Definition:</b> <a href="FaissException_8h_source.html#l00058">FaissException.h:58</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#l00097">PolysemousTraining.h:97</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_a07a726903418960a2d8000506d88f8e6"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#a07a726903418960a2d8000506d88f8e6">faiss::Score3Computer::compute</a></div><div class="ttdeci">Taccu compute(const int *perm) const </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00456">PolysemousTraining.cpp:456</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a467b451ca203544e42c250e4be65b983"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a467b451ca203544e42c250e4be65b983">faiss::ProductQuantizer::dsub</a></div><div class="ttdeci">size_t dsub</div><div class="ttdoc">dimensionality of each subvector </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00032">ProductQuantizer.h:32</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_ae5a340ee5a4b1d35a565b167de2a2ef1"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#ae5a340ee5a4b1d35a565b167de2a2ef1">faiss::ProductQuantizer::compute_codes</a></div><div class="ttdeci">void compute_codes(const float *x, uint8_t *codes, size_t n) const </div><div class="ttdoc">same as compute_code for several vectors </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8cpp_source.html#l00482">ProductQuantizer.cpp:482</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_a98da6005edbb5ec26311bc947866122d"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#a98da6005edbb5ec26311bc947866122d">faiss::Score3Computer::update_j_line</a></div><div class="ttdeci">Taccu update_j_line(const int *perm, int iw, int jw, int ip0, int ip, int jp0, int jp, const Ttab *n_gt_ij) const </div><div class="ttdoc">compute update on a line of k&amp;#39;s, where i and j are swapped </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00586">PolysemousTraining.cpp:586</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#l00065">PolysemousTraining.h:65</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_aa61330eadb84772b71018b093773a5f9"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#aa61330eadb84772b71018b093773a5f9">faiss::ProductQuantizer::code_size</a></div><div class="ttdeci">size_t code_size</div><div class="ttdoc">byte per indexed vector </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00033">ProductQuantizer.h:33</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#l00105">PolysemousTraining.h:105</a></div></div>
<div class="ttc" id="structfaiss_1_1RandomGenerator_html_a583f124ecacdbe037ac96e23a44dd420"><div class="ttname"><a href="structfaiss_1_1RandomGenerator.html#a583f124ecacdbe037ac96e23a44dd420">faiss::RandomGenerator::rand_int</a></div><div class="ttdeci">int rand_int()</div><div class="ttdoc">random positive integer </div><div class="ttdef"><b>Definition:</b> <a href="utils_8cpp_source.html#l00114">utils.cpp:114</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a0feee45e4151547b7a0444c14bad398f"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a0feee45e4151547b7a0444c14bad398f">faiss::ProductQuantizer::ksub</a></div><div class="ttdeci">size_t ksub</div><div class="ttdoc">number of centroids for each subquantizer </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00034">ProductQuantizer.h:34</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#l00827">PolysemousTraining.cpp:827</a></div></div>
<div class="ttc" id="namespacefaiss_html_a3d9c7db82d43c1f0ab1d28b92bc9fe57"><div class="ttname"><a href="namespacefaiss.html#a3d9c7db82d43c1f0ab1d28b92bc9fe57">faiss::pairwise_L2sqr</a></div><div class="ttdeci">void pairwise_L2sqr(long d, long nq, const float *xq, long nb, const float *xb, float *dis, long ldq, long ldb, long ldd)</div><div class="ttdef"><b>Definition:</b> <a href="utils_8cpp_source.html#l01021">utils.cpp:1021</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_a1c4537d67802aef28ccc57c4bd87f766"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#a1c4537d67802aef28ccc57c4bd87f766">faiss::Score3Computer::compute_cost</a></div><div class="ttdeci">double compute_cost(const int *perm) const override</div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00632">PolysemousTraining.cpp:632</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html">faiss::Score3Computer</a></div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00444">PolysemousTraining.cpp:444</a></div></div>
<div class="ttc" id="namespacefaiss_html_af2a71f7d5402ae02ce169a4cc83020eb"><div class="ttname"><a href="namespacefaiss.html#af2a71f7d5402ae02ce169a4cc83020eb">faiss::getmillisecs</a></div><div class="ttdeci">double getmillisecs()</div><div class="ttdoc">ms elapsed since some arbitrary epoch </div><div class="ttdef"><b>Definition:</b> <a href="utils_8cpp_source.html#l00069">utils.cpp:69</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#l00066">PolysemousTraining.h:66</a></div></div>
<div class="ttc" id="structfaiss_1_1RankingScore2_html_a16c753a4136b3c851ea81133a26a02da"><div class="ttname"><a href="structfaiss_1_1RankingScore2.html#a16c753a4136b3c851ea81133a26a02da">faiss::RankingScore2::accum_gt_weight_diff</a></div><div class="ttdeci">double accum_gt_weight_diff(const std::vector&lt; int &gt; &amp;a, const std::vector&lt; int &gt; &amp;b)</div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00683">PolysemousTraining.cpp:683</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#l00021">PolysemousTraining.h:21</a></div></div>
<div class="ttc" id="structfaiss_1_1IndirectSort_html"><div class="ttname"><a href="structfaiss_1_1IndirectSort.html">faiss::IndirectSort</a></div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00648">PolysemousTraining.cpp:648</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_acf371848bac76ba275ceb5e10f805d33"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#acf371848bac76ba275ceb5e10f805d33">faiss::Score3Computer::update_i_cross</a></div><div class="ttdeci">Taccu update_i_cross(const int *perm, int iw, int jw, int ip0, int ip, const Ttab *n_gt_i) const </div><div class="ttdoc">considers the 2 pairs of crossing lines j=iw or jw and k = iw or kw </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00607">PolysemousTraining.cpp:607</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a83600e328893ce5f41fe459f5a3acf41"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a83600e328893ce5f41fe459f5a3acf41">faiss::ProductQuantizer::M</a></div><div class="ttdeci">size_t M</div><div class="ttdoc">number of subquantizers </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00028">ProductQuantizer.h:28</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#l00125">PolysemousTraining.h:125</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#l00040">PolysemousTraining.h:40</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#l00023">ProductQuantizer.h:23</a></div></div>
<div class="ttc" id="structfaiss_1_1Score3Computer_html_a227601c3dc8779bb13747ba04934e0c8"><div class="ttname"><a href="structfaiss_1_1Score3Computer.html#a227601c3dc8779bb13747ba04934e0c8">faiss::Score3Computer::update_k</a></div><div class="ttdeci">Taccu update_k(const int *perm, int iw, int jw, int ip0, int ip, int jp0, int jp, int k, const Ttab *n_gt_ij) const </div><div class="ttdoc">used for the 8 cells were the 3 indices are swapped </div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00567">PolysemousTraining.cpp:567</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#l00064">PolysemousTraining.h:64</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a4f0f33c011dffe633a1748a48a082c22"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a4f0f33c011dffe633a1748a48a082c22">faiss::ProductQuantizer::get_centroids</a></div><div class="ttdeci">float * get_centroids(size_t m, size_t i)</div><div class="ttdoc">return the centroids associated with subvector m </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00058">ProductQuantizer.h:58</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#l00764">PolysemousTraining.cpp:764</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#l00934">PolysemousTraining.cpp:934</a></div></div>
<div class="ttc" id="structfaiss_1_1ProductQuantizer_html_a567cd512438f9e3404d9339a232d7695"><div class="ttname"><a href="structfaiss_1_1ProductQuantizer.html#a567cd512438f9e3404d9339a232d7695">faiss::ProductQuantizer::d</a></div><div class="ttdeci">size_t d</div><div class="ttdoc">size of the input vectors </div><div class="ttdef"><b>Definition:</b> <a href="ProductQuantizer_8h_source.html#l00027">ProductQuantizer.h:27</a></div></div>
<div class="ttc" id="structfaiss_1_1RankingScore2_html"><div class="ttname"><a href="structfaiss_1_1RankingScore2.html">faiss::RankingScore2</a></div><div class="ttdef"><b>Definition:</b> <a href="PolysemousTraining_8cpp_source.html#l00655">PolysemousTraining.cpp:655</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#l00094">PolysemousTraining.h:94</a></div></div>
2017-02-23 06:26:44 +08:00
</div><!-- fragment --></div><!-- contents -->
<!-- start footer part -->
<hr class="footer"/><address class="footer"><small>
Generated by &#160;<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/>
</a> 1.8.5
</small></address>
</body>
</html>