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
122
123
124
125
126
127
128
129
130
131
132
133
134
135
|
<!-- Copyright (c) 2020 ARM Limited. -->
<!-- -->
<!-- SPDX-License-Identifier: MIT -->
<!-- -->
<!-- HTML header for doxygen 1.8.13-->
<!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 1.8.13"/>
<meta name="robots" content="NOINDEX, NOFOLLOW" />
<meta name="viewport" content="width=device-width, initial-scale=1"/>
<title>ArmNN: src/armnn/test/TensorHelpers.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">
$(document).ready(initResizable);
</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/x-mathjax-config">
MathJax.Hub.Config({
extensions: ["tex2jax.js"],
jax: ["input/TeX","output/HTML-CSS"],
});
</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script>
<link href="doxygen.css" rel="stylesheet" type="text/css" />
<link href="stylesheet.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;">
<img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/>
<td style="padding-left: 0.5em;">
<div id="projectname">
 <span id="projectnumber">21.02</span>
</div>
</td>
</tr>
</tbody>
</table>
</div>
<!-- end header part -->
<!-- Generated by Doxygen 1.8.13 -->
<script type="text/javascript">
var searchBox = new SearchBox("searchBox", "search",false,'Search');
</script>
<script type="text/javascript" src="menudata.js"></script>
<script type="text/javascript" src="menu.js"></script>
<script type="text/javascript">
$(function() {
initMenu('',true,false,'search.php','Search');
$(document).ready(function() { init_search(); });
});
</script>
<div id="main-nav"></div>
</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">
$(document).ready(function(){initNavTree('_tensor_helpers_8hpp_source.xhtml','');});
</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">TensorHelpers.hpp</div> </div>
</div><!--header-->
<div class="contents">
<a href="_tensor_helpers_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.xhtml">armnn/utility/Assert.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_floating_point_comparison_8hpp.xhtml">armnnUtils/FloatingPointComparison.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <boost/multi_array.hpp></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <boost/random/uniform_real_distribution.hpp></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <boost/random/mersenne_twister.hpp></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <array></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <vector></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"><a class="line" href="_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781"> 22</a></span> constexpr <span class="keywordtype">float</span> <a class="code" href="_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781">g_FloatCloseToZeroTolerance</a> = 1.0e-6f;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keywordtype">bool</span> isQuantized = true></div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="struct_selective_comparer.xhtml"> 25</a></span> <span class="keyword">struct </span><a class="code" href="struct_selective_comparer.xhtml">SelectiveComparer</a></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> {</div><div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="struct_selective_comparer.xhtml#adeb6209a190d5004061266b1f8e31bae"> 27</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="struct_selective_comparer.xhtml#adeb6209a190d5004061266b1f8e31bae">Compare</a>(T a, T b)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">return</span> (std::max(a, b) - std::min(a, b)) <= 1;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> };</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml"> 35</a></span> <span class="keyword">struct </span><a class="code" href="struct_selective_comparer.xhtml">SelectiveComparer</a><T, <a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml#adeb6209a190d5004061266b1f8e31bae"> 37</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml#adeb6209a190d5004061266b1f8e31bae">Compare</a>(T a, T b)</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="comment">// If a or b is zero, percent_tolerance does an exact match, so compare to a small, constant tolerance instead.</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (a == 0.0f || b == 0.0f)</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="keywordflow">return</span> std::abs(a - b) <= <a class="code" href="_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781">g_FloatCloseToZeroTolerance</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (std::isinf(a) && a == b)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">if</span> (std::isnan(a) && std::isnan(b))</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// For unquantized floats we use a tolerance of 1%.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn_utils.xhtml#a56b0e17341e000fa1d4561890294520c">armnnUtils::within_percentage_tolerance</a>(a, b);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> };</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7"> 61</a></span> <span class="keywordtype">bool</span> <a class="code" href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a>(T a, T b)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> <a class="code" href="struct_selective_comparer.xhtml">SelectiveComparer<T, armnn::IsQuantizedType<T></a>()>::<a class="code" href="struct_selective_comparer.xhtml#adeb6209a190d5004061266b1f8e31bae">Compare</a>(a, b);</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> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd"> 67</a></span> <span class="keywordtype">bool</span> <a class="code" href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a>(T a, T b)</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>  <span class="keywordflow">return</span> (((a == 0) && (b == 0)) || ((a != 0) && (b != 0)));</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> };</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> n></div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#aa5a4b75c5fa1d312b4f3615b2315ff58"> 73</a></span> boost::test_tools::predicate_result <a class="code" href="_tensor_helpers_8hpp.xhtml#aa5a4b75c5fa1d312b4f3615b2315ff58">CompareTensors</a>(<span class="keyword">const</span> boost::multi_array<T, n>& a,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">const</span> boost::multi_array<T, n>& b,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">bool</span> compareBoolean = <span class="keyword">false</span>,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordtype">bool</span> isDynamic = <span class="keyword">false</span>)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">if</span> (!isDynamic)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Checks they are same shape.</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  i < n;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  i++)</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">if</span> (a.shape()[i] != b.shape()[i])</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  boost::test_tools::predicate_result res(<span class="keyword">false</span>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  res.message() << <span class="stringliteral">"Different shapes ["</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  << a.shape()[i]</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  << <span class="stringliteral">"!="</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  << b.shape()[i]</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Now compares element-wise.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Fun iteration over n dimensions.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::array<unsigned int, n> indices;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < n; i++)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  indices[i] = 0;</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> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::stringstream errorString;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">int</span> numFailedElements = 0;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  constexpr <span class="keywordtype">int</span> maxReportedDifferences = 3;</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="keywordflow">while</span> (<span class="keyword">true</span>)</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>  <span class="keywordtype">bool</span> comparison;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// As true for uint8_t is non-zero (1-255) we must have a dedicated compare for Booleans.</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span>(compareBoolean)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  comparison = <a class="code" href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a>(a(indices), b(indices));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">else</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>  comparison = <a class="code" href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a>(a(indices), b(indices));</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">if</span> (!comparison)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  ++numFailedElements;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">if</span> (numFailedElements <= maxReportedDifferences)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (numFailedElements >= 2)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  errorString << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  errorString << <span class="stringliteral">"["</span>;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < n; ++i)</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  errorString << indices[i];</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">if</span> (i != n - 1)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  errorString << <span class="stringliteral">","</span>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  errorString << <span class="stringliteral">"]"</span>;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  errorString << <span class="stringliteral">" ("</span> << +a(indices) << <span class="stringliteral">" != "</span> << +b(indices) << <span class="stringliteral">")"</span>;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  ++indices[n - 1];</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=n-1; i>0; i--)</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="keywordflow">if</span> (indices[i] == a.shape()[i])</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  indices[i] = 0;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  ++indices[i - 1];</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">if</span> (indices[0] == a.shape()[0])</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  }</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  boost::test_tools::predicate_result comparisonResult(<span class="keyword">true</span>);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">if</span> (numFailedElements > 0)</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  comparisonResult = <span class="keyword">false</span>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  comparisonResult.message() << numFailedElements << <span class="stringliteral">" different values at: "</span>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">if</span> (numFailedElements > maxReportedDifferences)</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>  errorString << <span class="stringliteral">", ... (and "</span> << (numFailedElements - maxReportedDifferences) << <span class="stringliteral">" other differences)"</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  }</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  comparisonResult.message() << errorString.str();</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</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="keywordflow">return</span> comparisonResult;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</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> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment">// Creates a boost::multi_array with the shape defined by the given TensorInfo.</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> n></div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#a9c063a8b0e52737d20184cd36dcf483e"> 183</a></span> boost::multi_array<T, n> <a class="code" href="_tensor_helpers_8hpp.xhtml#a9c063a8b0e52737d20184cd36dcf483e">MakeTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo)</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::array<unsigned int, n> shape;</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < n; i++)</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</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>  <span class="keywordflow">return</span> boost::multi_array<T, n>(shape);</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> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="comment">// Creates a boost::multi_array with the shape defined by the given TensorInfo and contents defined by the given vector.</span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> n></div><div class="line"><a name="l00197"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#aad0493ecadf29986c182389bdc6a0fc5"> 197</a></span> boost::multi_array<T, n> <a class="code" href="_tensor_helpers_8hpp.xhtml#a9c063a8b0e52737d20184cd36dcf483e">MakeTensor</a>(</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo, <span class="keyword">const</span> std::vector<T>& flat, <span class="keywordtype">bool</span> isDynamic = <span class="keyword">false</span>)</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">if</span> (!isDynamic)</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  {</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(flat.size() == tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <span class="stringliteral">"Wrong number of components supplied to tensor"</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> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  std::array<unsigned int, n> shape;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// NOTE: tensorInfo.GetNumDimensions() might be different from n</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> returnDimensions = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(n);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> actualDimensions = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> paddedDimensions =</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  returnDimensions > actualDimensions ? returnDimensions - actualDimensions : 0u;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < returnDimensions; i++)</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">if</span> (i < paddedDimensions)</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  shape[i] = 1u;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  shape[i] = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i - paddedDimensions];</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  boost::const_multi_array_ref<T, n> arrayRef(&flat[0], shape);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">return</span> boost::multi_array<T, n>(arrayRef);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> n></div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="_tensor_helpers_8hpp.xhtml#a1268c19758dd636d0da80d16d2a4f2f4"> 231</a></span> boost::multi_array<T, n> <a class="code" href="_tensor_helpers_8hpp.xhtml#a1268c19758dd636d0da80d16d2a4f2f4">MakeRandomTensor</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& tensorInfo,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> seed,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">float</span> min = -10.0f,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordtype">float</span> max = 10.0f)</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  boost::random::mt19937 gen(seed);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  boost::random::uniform_real_distribution<float> dist(min, max);</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::vector<float> init(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < init.size(); i++)</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>  init[i] = dist(gen);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>();</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">const</span> int32_t qOffset = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>();</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">return</span> MakeTensor<T, n>(tensorInfo, armnnUtils::QuantizedVector<T>(init, qScale, qOffset));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div><div class="ttc" id="struct_selective_comparer_xhtml_adeb6209a190d5004061266b1f8e31bae"><div class="ttname"><a href="struct_selective_comparer.xhtml#adeb6209a190d5004061266b1f8e31bae">SelectiveComparer::Compare</a></div><div class="ttdeci">static bool Compare(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00027">TensorHelpers.hpp:27</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a9c063a8b0e52737d20184cd36dcf483e"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a9c063a8b0e52737d20184cd36dcf483e">MakeTensor</a></div><div class="ttdeci">boost::multi_array< T, n > MakeTensor(const armnn::TensorInfo &tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00183">TensorHelpers.hpp:183</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a617427516e17888a138c16d3af503cfd"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a617427516e17888a138c16d3af503cfd">SelectiveCompareBoolean</a></div><div class="ttdeci">bool SelectiveCompareBoolean(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00067">TensorHelpers.hpp:67</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="_quantize_helper_8hpp_xhtml"><div class="ttname"><a href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_aa5a4b75c5fa1d312b4f3615b2315ff58"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#aa5a4b75c5fa1d312b4f3615b2315ff58">CompareTensors</a></div><div class="ttdeci">boost::test_tools::predicate_result CompareTensors(const boost::multi_array< T, n > &a, const boost::multi_array< T, n > &b, bool compareBoolean=false, bool isDynamic=false)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00073">TensorHelpers.hpp:73</a></div></div>
<div class="ttc" id="_cl_layer_tests_8cpp_xhtml_a2289f9e7fac0ce47801448e873b04303"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></div><div class="ttdeci">DataLayout::NCHW false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00135">ClLayerTests.cpp:135</a></div></div>
<div class="ttc" id="_floating_point_comparison_8hpp_xhtml"><div class="ttname"><a href="_floating_point_comparison_8hpp.xhtml">FloatingPointComparison.hpp</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a1ed60e4e5a0ec57f6483904e11fbd781"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a1ed60e4e5a0ec57f6483904e11fbd781">g_FloatCloseToZeroTolerance</a></div><div class="ttdeci">constexpr float g_FloatCloseToZeroTolerance</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00022">TensorHelpers.hpp:22</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00469">Tensor.cpp:469</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00452">Tensor.cpp:452</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a833e7db5d5f7e93102e80de57a602cf7"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a833e7db5d5f7e93102e80de57a602cf7">SelectiveCompare</a></div><div class="ttdeci">bool SelectiveCompare(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00061">TensorHelpers.hpp:61</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml"><div class="ttname"><a href="_assert_8hpp.xhtml">Assert.hpp</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml_a1268c19758dd636d0da80d16d2a4f2f4"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml#a1268c19758dd636d0da80d16d2a4f2f4">MakeRandomTensor</a></div><div class="ttdeci">boost::multi_array< T, n > MakeRandomTensor(const armnn::TensorInfo &tensorInfo, unsigned int seed, float min=-10.0f, float max=10.0f)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00231">TensorHelpers.hpp:231</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a56b0e17341e000fa1d4561890294520c"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a56b0e17341e000fa1d4561890294520c">armnnUtils::within_percentage_tolerance</a></div><div class="ttdeci">bool within_percentage_tolerance(float a, float b, float tolerancePercent=1.0f)</div><div class="ttdoc">Compare two floats and return true if their values are within a specified tolerance of each other...</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_comparison_8hpp_source.xhtml#l00020">FloatingPointComparison.hpp:20</a></div></div>
<div class="ttc" id="struct_selective_comparer_3_01_t_00_01false_01_4_xhtml_adeb6209a190d5004061266b1f8e31bae"><div class="ttname"><a href="struct_selective_comparer_3_01_t_00_01false_01_4.xhtml#adeb6209a190d5004061266b1f8e31bae">SelectiveComparer< T, false >::Compare</a></div><div class="ttdeci">static bool Compare(T a, T b)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00037">TensorHelpers.hpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00192">Tensor.hpp:192</a></div></div>
<div class="ttc" id="struct_selective_comparer_xhtml"><div class="ttname"><a href="struct_selective_comparer.xhtml">SelectiveComparer</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_helpers_8hpp_source.xhtml#l00025">TensorHelpers.hpp:25</a></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_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.xhtml">armnn</a></li><li class="navelem"><a class="el" href="dir_9d86fd1fbecbedf5bdb69c7e7235fe5f.xhtml">test</a></li><li class="navelem"><a class="el" href="_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></li>
<li class="footer">Generated on Thu Feb 25 2021 17:27:29 for ArmNN by
<a href="http://www.doxygen.org/index.html">
<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
</ul>
</div>
</body>
</html>
|
