-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathauntf_8hpp_source.html
121 lines (119 loc) · 42.3 KB
/
auntf_8hpp_source.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
<!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 1.8.14"/>
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>planc: /Users/rnu/Documents/research/nmflibrary/ntf/auntf.hpp Source File</title>
<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="navtree.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="resize.js"></script>
<script type="text/javascript" src="navtreedata.js"></script>
<script type="text/javascript" src="navtree.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
$(document).ready(initResizable);
/* @license-end */</script>
<link href="search/search.css" rel="stylesheet" type="text/css"/>
<script type="text/javascript" src="search/searchdata.js"></script>
<script type="text/javascript" src="search/search.js"></script>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function() { init_search(); });
/* @license-end */
</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 id="projectlogo"><img alt="Logo" src="logo.png"/></td>
<td id="projectalign" style="padding-left: 0.5em;">
<div id="projectname">planc
</div>
</td>
<td> <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>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.14 -->
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
var searchBox = new SearchBox("searchBox", "search",false,'Search');
/* @license-end */
</script>
</div><!-- top -->
<div id="side-nav" class="ui-resizable side-nav-resizable">
<div id="nav-tree">
<div id="nav-tree-contents">
<div id="nav-sync" class="sync"></div>
</div>
</div>
<div id="splitbar" style="-moz-user-select:none;"
class="ui-resizable-handle">
</div>
</div>
<script type="text/javascript">
/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */
$(document).ready(function(){initNavTree('auntf_8hpp_source.html','');});
/* @license-end */
</script>
<div id="doc-content">
<!-- window showing the filter options -->
<div id="MSearchSelectWindow"
onmouseover="return searchBox.OnSearchSelectShow()"
onmouseout="return searchBox.OnSearchSelectHide()"
onkeydown="return searchBox.OnSearchSelectKey(event)">
</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">auntf.hpp</div> </div>
</div><!--header-->
<div class="contents">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/* Copyright Ramakrishnan Kannan 2017 */</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> </div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="preprocessor">#ifndef NTF_AUNTF_HPP_</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="preprocessor">#define NTF_AUNTF_HPP_</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#define MPITIC tic();</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#define MPITOC toc();</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <cblas.h></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <armadillo></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "common/ncpfactors.hpp"</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "common/ntf_utils.hpp"</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "common/tensor.hpp"</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "dimtree/ddt.hpp"</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span><a class="code" href="namespaceplanc.html">planc</a> {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#define TENSOR_DIM (m_input_tensor.dimensions())</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#define TENSOR_NUMEL (m_input_tensor.numel())</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">// #ifndef NTF_VERBOSE</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">// #define NTF_VERBOSE 1</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">// #endif</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment">// extern "C" void cblas_dgemm_(const CBLAS_LAYOUT Layout,</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// const CBLAS_TRANSPOSE transa,</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment">// const CBLAS_TRANSPOSE transb,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment">// const int m, const int n,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">// const int k, const double alpha,</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">// const double *a, const int lda,</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment">// const double *b, const int ldb,</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">// const double beta, double *c,</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// const int ldc);</span></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classplanc_1_1AUNTF.html"> 35</a></span> <span class="keyword">class </span><a class="code" href="classplanc_1_1AUNTF.html">AUNTF</a> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="classplanc_1_1NCPFactors.html">planc::NCPFactors</a> m_ncp_factors;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  MAT *ncp_mttkrp_t;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  MAT gram_without_one;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">virtual</span> MAT update(<span class="keyword">const</span> <span class="keywordtype">int</span> mode) = 0;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <a class="code" href="classplanc_1_1Tensor.html">planc::Tensor</a> &m_input_tensor;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">int</span> m_num_it;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">int</span> m_current_it;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">bool</span> m_compute_error;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> m_low_rank_k;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  MAT *ncp_krp;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">const</span> algotype m_updalgo;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classplanc_1_1Tensor.html">planc::Tensor</a> *lowranktensor;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classDenseDimensionTree.html">DenseDimensionTree</a> *kdt;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">bool</span> m_enable_dim_tree;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// needed for acceleration algorithms.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordtype">bool</span> m_accelerated;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">double</span> m_rel_error;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">double</span> m_normA;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  std::vector<bool> m_stale_mttkrp;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// Ensure factor is unnormalised when calling this function</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">void</span> update_factor_mode(<span class="keyword">const</span> <span class="keywordtype">int</span> &current_mode, <span class="keyword">const</span> MAT &factor) {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  m_ncp_factors.set(current_mode, factor);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  m_ncp_factors.normalize(current_mode);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">if</span> (m_enable_dim_tree) {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  MAT temp = m_ncp_factors.factor(current_mode).t();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  kdt->set_factor(temp.memptr(), current_mode);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">int</span> num_modes = this->m_input_tensor.modes();</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> mode = 0; mode < num_modes; mode++) {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">if</span> (mode != current_mode) this->m_stale_mttkrp[current_mode] = <span class="keyword">true</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> accelerate() {}</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classplanc_1_1AUNTF.html">AUNTF</a>(<span class="keyword">const</span> <a class="code" href="classplanc_1_1Tensor.html">planc::Tensor</a> &i_tensor, <span class="keyword">const</span> <span class="keywordtype">int</span> i_k, algotype i_algo)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  : m_input_tensor(i_tensor),</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  m_ncp_factors(i_tensor.dimensions(), i_k, <span class="keyword">false</span>),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  m_low_rank_k(i_k),</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  m_updalgo(i_algo) {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  m_ncp_factors.normalize();</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  gram_without_one.zeros(i_k, i_k);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  ncp_mttkrp_t = <span class="keyword">new</span> MAT[i_tensor.modes()];</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  ncp_krp = <span class="keyword">new</span> MAT[i_tensor.modes()];</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < i_tensor.modes(); i++) {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  UWORD current_size = TENSOR_NUMEL / TENSOR_DIM[i];</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ncp_krp[i].zeros(current_size, i_k);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  ncp_mttkrp_t[i].zeros(i_k, TENSOR_DIM[i]);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  this->m_stale_mttkrp.push_back(<span class="keyword">true</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  lowranktensor = <span class="keyword">new</span> <a class="code" href="classplanc_1_1Tensor.html">planc::Tensor</a>(i_tensor.dimensions());</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  m_compute_error = <span class="keyword">false</span>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  m_num_it = 20;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  m_normA = i_tensor.norm();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// INFO << "Init factors for NCP" << std::endl << "======================";</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// m_ncp_factors.print();</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  this->m_enable_dim_tree = <span class="keyword">false</span>;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  ~<a class="code" href="classplanc_1_1AUNTF.html">AUNTF</a>() {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < m_input_tensor.modes(); i++) {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  ncp_krp[i].clear();</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  ncp_mttkrp_t[i].clear();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">delete</span>[] ncp_krp;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">delete</span>[] ncp_mttkrp_t;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (this->m_enable_dim_tree) {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">delete</span> kdt;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">delete</span> lowranktensor;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classplanc_1_1NCPFactors.html">NCPFactors</a> &ncp_factors() { <span class="keywordflow">return</span> m_ncp_factors; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">void</span> dim_tree(<span class="keywordtype">bool</span> i_dim_tree) {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  this->m_enable_dim_tree = i_dim_tree;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">if</span> (i_dim_tree) {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  this->kdt = <span class="keyword">new</span> <a class="code" href="classDenseDimensionTree.html">DenseDimensionTree</a>(m_input_tensor, m_ncp_factors,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  m_input_tensor.modes() / 2);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">double</span> current_error()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> this->m_rel_error; }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> num_it(<span class="keyword">const</span> <span class="keywordtype">int</span> i_n) { this->m_num_it = i_n; }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">void</span> computeNTF() {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">for</span> (m_current_it = 0; m_current_it < m_num_it; m_current_it++) {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  INFO << <span class="stringliteral">"iter::"</span> << this->m_current_it << std::endl;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < this->m_input_tensor.modes(); j++) {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  m_ncp_factors.gram_leave_out_one(j, &gram_without_one);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#ifdef NTF_VERBOSE</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  INFO << <span class="stringliteral">"gram_without_"</span> << j << <span class="stringliteral">"::"</span> << arma::cond(gram_without_one)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  << std::endl</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  << gram_without_one << std::endl;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">if</span> (this->m_stale_mttkrp[j]) {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  m_ncp_factors.krp_leave_out_one(j, &ncp_krp[j]);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="preprocessor">#ifdef NTF_VERBOSE</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  INFO << <span class="stringliteral">"krp_leave_out_"</span> << j << std::endl << ncp_krp[j] << std::endl;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">if</span> (this->m_enable_dim_tree) {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">double</span> multittv_time = 0;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">double</span> mttkrp_time = 0;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  kdt-><a class="code" href="classDenseDimensionTree.html#a60fbfff326baffbed48aaab575049417">in_order_reuse_MTTKRP</a>(j, ncp_mttkrp_t[j].memptr(), <span class="keyword">false</span>,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  multittv_time, mttkrp_time);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  m_input_tensor.mttkrp(j, ncp_krp[j], &ncp_mttkrp_t[j]);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  this->m_stale_mttkrp[j] = <span class="keyword">false</span>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="preprocessor">#ifdef NTF_VERBOSE</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  INFO << <span class="stringliteral">"mttkrp for factor"</span> << j << std::endl</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  << ncp_mttkrp_t[j] << std::endl;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// MAT factor = update(m_updalgo, gram_without_one, ncp_mttkrp_t[j], j);</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  MAT factor = update(j);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor">#ifdef NTF_VERBOSE</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  INFO << <span class="stringliteral">"iter::"</span> << i << <span class="stringliteral">"::factor:: "</span> << j << std::endl</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  << factor << std::endl;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  update_factor_mode(j, factor.t());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (m_compute_error) {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">double</span> temp_err = computeObjectiveError();</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  this->m_rel_error = temp_err;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  INFO << <span class="stringliteral">"relative_error at it::"</span> << this->m_current_it</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  << <span class="stringliteral">"::"</span> << temp_err << std::endl;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">if</span> (this->m_accelerated) accelerate();</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor">#ifdef NTF_VERBOSE</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  INFO << <span class="stringliteral">"ncp factors"</span> << std::endl;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  m_ncp_factors.print();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">void</span> accelerated(<span class="keyword">const</span> <span class="keywordtype">bool</span> &set_acceleration) {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  this->m_accelerated = set_acceleration;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  this->m_compute_error = <span class="keyword">true</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">bool</span> is_stale_mttkrp(<span class="keyword">const</span> <span class="keywordtype">int</span> &current_mode)<span class="keyword"> const </span>{</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">return</span> this->m_stale_mttkrp[current_mode];</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  }</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordtype">void</span> compute_error(<span class="keywordtype">bool</span> i_error) { this->m_compute_error = i_error; }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordtype">void</span> reset(<span class="keyword">const</span> <a class="code" href="classplanc_1_1NCPFactors.html">NCPFactors</a> &new_factors, <span class="keywordtype">bool</span> trans = <span class="keyword">false</span>) {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordtype">int</span> m_modes = this->m_input_tensor.modes();</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">if</span> (!trans) {</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < m_modes; i++) {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  update_factor_mode(i, new_factors.factor(i));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < m_modes; i++) {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  update_factor_mode(i, new_factors.factor(i).t());</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  }</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  m_ncp_factors.set_lambda(new_factors.lambda());</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordtype">int</span> current_it()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_current_it; }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordtype">double</span> computeObjectiveError() {</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// current low rank tensor</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="comment">// UWORD krpsize = arma::prod(this->m_dimensions);</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">// krpsize /= this->m_dimensions[0];</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="comment">// MAT krpleavingzero.zeros(krpsize, this->m_k);</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">// krp_leave_out_one(0, &krpleavingzero);</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// MAT lowranktensor(this->m_dimensions[0], krpsize);</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// lowranktensor = this->ncp_factors[0] * trans(krpleavingzero);</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// compute current low rank tensor as above.</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  m_ncp_factors.krp_leave_out_one(0, &ncp_krp[0]);</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// cblas_dgemm_(const CBLAS_LAYOUT Layout,</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// const CBLAS_TRANSPOSE transa,</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// const CBLAS_TRANSPOSE transb,</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// const MKL_INT m, const MKL_INT n,</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// const MKL_INT k, const double alpha,</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// const double * a, const MKL_INT lda,</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// const double * b, const MKL_INT ldb,</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="comment">// const double beta, double * c,</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">// const MKL_INT ldc);</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// char transa = 'T';</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// char transb = 'N';</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keywordtype">int</span> m = m_ncp_factors.factor(0).n_rows;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">int</span> n = ncp_krp[0].n_rows;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordtype">int</span> k = m_ncp_factors.factor(0).n_cols;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordtype">int</span> lda = m;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">int</span> ldb = n;</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">int</span> ldc = m;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">double</span> alpha = 1;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">double</span> beta = 0;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">char</span> nt = <span class="charliteral">'N'</span>;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">char</span> t = <span class="charliteral">'T'</span>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  MAT unnorm_fac =</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  m_ncp_factors.factor(0) * arma::diagmat(m_ncp_factors.lambda());</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// double *output_tensor = new double[ldc * n];</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  dgemm_(&nt, &t, &m, &n, &k, &alpha, unnorm_fac.memptr(), &lda,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  ncp_krp[0].memptr(), &ldb, &beta, lowranktensor->m_data, &ldc);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// INFO << "lowrank tensor::" << std::endl;</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// lowranktensor->print();</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// for (int i=0; i < ldc*n; i++){</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// INFO << i << ":" << output_tensor[i] << std::endl;</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// }</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordtype">double</span> err = m_input_tensor.err(*lowranktensor);</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  err = std::sqrt(err / this->m_normA);</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">return</span> err;</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordtype">double</span> computeObjectiveError(<span class="keyword">const</span> <a class="code" href="classplanc_1_1NCPFactors.html">NCPFactors</a> &new_factors_t) {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  reset(new_factors_t, <span class="keyword">true</span>);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> computeObjectiveError();</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> }; <span class="comment">// class AUNTF</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> } <span class="comment">// namespace planc</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="preprocessor">#endif // NTF_AUNTF_HPP_</span></div><div class="ttc" id="classplanc_1_1Tensor_html"><div class="ttname"><a href="classplanc_1_1Tensor.html">planc::Tensor</a></div><div class="ttdef"><b>Definition:</b> tensor.hpp:30</div></div>
<div class="ttc" id="classplanc_1_1NCPFactors_html"><div class="ttname"><a href="classplanc_1_1NCPFactors.html">planc::NCPFactors</a></div><div class="ttdef"><b>Definition:</b> ncpfactors.hpp:20</div></div>
<div class="ttc" id="classDenseDimensionTree_html_a60fbfff326baffbed48aaab575049417"><div class="ttname"><a href="classDenseDimensionTree.html#a60fbfff326baffbed48aaab575049417">DenseDimensionTree::in_order_reuse_MTTKRP</a></div><div class="ttdeci">void in_order_reuse_MTTKRP(long int n, double *out, bool colmajor, double &multittv_time, double &mttkrp_time)</div><div class="ttdef"><b>Definition:</b> ddt.hpp:135</div></div>
<div class="ttc" id="namespaceplanc_html"><div class="ttname"><a href="namespaceplanc.html">planc</a></div><div class="ttdef"><b>Definition:</b> luc.hpp:12</div></div>
<div class="ttc" id="classDenseDimensionTree_html"><div class="ttname"><a href="classDenseDimensionTree.html">DenseDimensionTree</a></div><div class="ttdef"><b>Definition:</b> ddt.hpp:11</div></div>
<div class="ttc" id="classplanc_1_1AUNTF_html"><div class="ttname"><a href="classplanc_1_1AUNTF.html">planc::AUNTF</a></div><div class="ttdef"><b>Definition:</b> auntf.hpp:35</div></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<!-- start footer part -->
<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_4945428d57d0e875e99234d97a50fad9.html">nmflibrary</a></li><li class="navelem"><a class="el" href="dir_34b479b069fddad1ed7ff4665edcc8a6.html">ntf</a></li><li class="navelem"><b>auntf.hpp</b></li>
<li class="footer">Generated by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.14 </li>
</ul>
</div>
</body>
</html>