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<div class="title">ModelAccuracyChecker.hpp</div> </div>
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<a href="_model_accuracy_checker_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</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="preprocessor">#include &lt;algorithm&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;boost/variant/apply_visitor.hpp&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;cstddef&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;functional&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;map&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a></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;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment">// Category names associated with a label</span></div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece"> 25</a></span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector&lt;std::string&gt;;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment">/** Split a string into tokens by a delimiter</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment"> * @param[in] originalString Original string to be split</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment"> * @param[in] delimiter Delimiter used to split \p originalString</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"> * @param[in] includeEmptyToekn If true, include empty tokens in the result</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="comment"> * @return A vector of tokens split from \p originalString by \delimiter</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;std::vector&lt;std::string&gt;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <a class="code" href="namespacearmnn_utils.xhtml#a158a68b143d2564fa1ca047646cf4185">SplitBy</a>(<span class="keyword">const</span> std::string&amp; originalString, <span class="keyword">const</span> std::string&amp; delimiter = <span class="stringliteral">&quot; &quot;</span>, <span class="keywordtype">bool</span> includeEmptyToken = <span class="keyword">false</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="comment">/** Remove any preceding and trailing character specified in the characterSet.</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment"> * @param[in] originalString Original string to be stripped</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"> * @param[in] characterSet Set of characters to be stripped from \p originalString</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"> * @return A string stripped of all characters specified in \p characterSet from \p originalString</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;std::string <a class="code" href="namespacearmnn_utils.xhtml#a14be0364a6fc0975d45e84737dfe21bc">Strip</a>(<span class="keyword">const</span> std::string&amp; originalString, <span class="keyword">const</span> std::string&amp; characterSet = <span class="stringliteral">&quot; &quot;</span>);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml"> 45</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">ModelAccuracyChecker</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment"> /** Constructor for a model top k accuracy checker</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="comment"> * @param[in] validationLabelSet Mapping from names of images to be validated, to category names of their</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"> corresponding ground-truth labels.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"> * @param[in] modelOutputLabels Mapping from output nodes to the category names of their corresponding labels</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="comment"> Note that an output node can have multiple category names.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a143dac91f5ef85d672e7bccb0358e3f7">ModelAccuracyChecker</a>(<span class="keyword">const</span> std::map&lt;std::string, std::string&gt;&amp; validationLabelSet,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">const</span> std::vector&lt;LabelCategoryNames&gt;&amp; modelOutputLabels);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"> /** Get Top K accuracy</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment"> * @param[in] k The number of top predictions to use for validating the ground-truth label. For example, if \p k is</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="comment"> 3, then a prediction is considered correct as long as the ground-truth appears in the top 3</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"> predictions.</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="comment"> * @return The accuracy, according to the top \p k th predictions.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordtype">float</span> <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="comment"> /** Record the prediction result of an image</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="comment"> * @param[in] imageName Name of the image.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;<span class="comment"> * @param[in] outputTensor Output tensor of the network running \p imageName.</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> TContainer&gt;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29"> 73</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a>(<span class="keyword">const</span> std::string&amp; imageName, std::vector&lt;TContainer&gt; outputTensor)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="comment">// Increment the total number of images processed</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; ++m_ImagesProcessed;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; std::map&lt;int, float&gt; confidenceMap;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keyword">auto</span>&amp; output = outputTensor[0];</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; <span class="comment">// Create a map of all predictions</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; boost::apply_visitor([&amp;confidenceMap](<span class="keyword">auto</span> &amp;&amp; value)</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; <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp; o : value)</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">if</span> (o &gt; 0)</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; confidenceMap.insert(std::pair&lt;int, float&gt;(index, static_cast&lt;float&gt;(o)));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; ++index;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; },</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; output);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="comment">// Create a comparator for sorting the map in order of highest probability</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keyword">typedef</span> std::function&lt;bool(std::pair&lt;int, float&gt;, std::pair&lt;int, float&gt;)&gt; Comparator;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; Comparator compFunctor =</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; [](std::pair&lt;int, float&gt; element1, std::pair&lt;int, float&gt; element2)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> element1.second &gt; element2.second;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; };</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="comment">// Do the sorting and store in an ordered set</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::set&lt;std::pair&lt;int, float&gt;, Comparator&gt; setOfPredictions(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; confidenceMap.begin(), confidenceMap.end(), compFunctor);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <span class="keyword">const</span> std::string correctLabel = m_GroundTruthLabelSet.at(imageName);</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; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 1;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">for</span> (std::pair&lt;int, float&gt; element : setOfPredictions)</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; <span class="keywordflow">if</span> (index &gt;= m_TopK.size())</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="comment">// Check if the ground truth label value is included in the topi prediction.</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="comment">// Note that a prediction can have multiple prediction labels.</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> predictionLabels = m_ModelOutputLabels[<span class="keyword">static_cast&lt;</span><span class="keywordtype">size_t</span><span class="keyword">&gt;</span>(element.first)];</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">if</span> (std::find(predictionLabels.begin(), predictionLabels.end(), correctLabel) != predictionLabels.end())</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; ++m_TopK[index];</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; ++index;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::string&gt; m_GroundTruthLabelSet;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keyword">const</span> std::vector&lt;LabelCategoryNames&gt; m_ModelOutputLabels;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; std::vector&lt;unsigned int&gt; m_TopK = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m_ImagesProcessed = 0;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;};</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;} <span class="comment">//namespace armnnUtils</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_a143dac91f5ef85d672e7bccb0358e3f7"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a143dac91f5ef85d672e7bccb0358e3f7">armnnUtils::ModelAccuracyChecker::ModelAccuracyChecker</a></div><div class="ttdeci">ModelAccuracyChecker(const std::map&lt; std::string, std::string &gt; &amp;validationLabelSet, const std::vector&lt; LabelCategoryNames &gt; &amp;modelOutputLabels)</div><div class="ttdoc">Constructor for a model top k accuracy checker. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00017">ModelAccuracyChecker.cpp:17</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_ad6ddd3b77dd12eb33875d58a391b2412"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">armnnUtils::ModelAccuracyChecker::GetAccuracy</a></div><div class="ttdeci">float GetAccuracy(unsigned int k)</div><div class="ttdoc">Get Top K accuracy. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00023">ModelAccuracyChecker.cpp:23</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml_a38d140dac29d228fdd1681e465507c29"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">armnnUtils::ModelAccuracyChecker::AddImageResult</a></div><div class="ttdeci">void AddImageResult(const std::string &amp;imageName, std::vector&lt; TContainer &gt; outputTensor)</div><div class="ttdoc">Record the prediction result of an image. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00073">ModelAccuracyChecker.hpp:73</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a14be0364a6fc0975d45e84737dfe21bc"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a14be0364a6fc0975d45e84737dfe21bc">armnnUtils::Strip</a></div><div class="ttdeci">std::string Strip(const std::string &amp;originalString, const std::string &amp;characterSet)</div><div class="ttdoc">Remove any preceding and trailing character specified in the characterSet. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00065">ModelAccuracyChecker.cpp:65</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a158a68b143d2564fa1ca047646cf4185"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a158a68b143d2564fa1ca047646cf4185">armnnUtils::SplitBy</a></div><div class="ttdeci">std::vector&lt; std::string &gt; SplitBy(const std::string &amp;originalString, const std::string &amp;delimiter, bool includeEmptyToken)</div><div class="ttdoc">Split a string into tokens by a delimiter. </div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8cpp_source.xhtml#l00041">ModelAccuracyChecker.cpp:41</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_model_accuracy_checker_xhtml"><div class="ttname"><a href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">armnnUtils::ModelAccuracyChecker</a></div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00045">ModelAccuracyChecker.hpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml"><div class="ttname"><a href="namespacearmnn_utils.xhtml">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00013">DataLayoutIndexed.hpp:13</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_ab175d8bf2482d5a39c2331d1f0ddcece"><div class="ttname"><a href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">armnnUtils::LabelCategoryNames</a></div><div class="ttdeci">std::vector&lt; std::string &gt; LabelCategoryNames</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_8hpp_source.xhtml#l00025">ModelAccuracyChecker.hpp:25</a></div></div>
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