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<div class="title">ModelAccuracyCheckerTest.cpp</div> </div>
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<a href="_model_accuracy_checker_test_8cpp.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">#include "<a class="code" href="_model_accuracy_checker_8hpp.xhtml">ModelAccuracyChecker.hpp</a>"</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 <boost/test/unit_test.hpp></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 <iostream></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_utils.xhtml">armnnUtils</a>;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="keyword">namespace </span>{</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">struct </span>TestHelper</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">const</span> std::map<std::string, std::string> GetValidationLabelSet()</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>  std::map<std::string, std::string> validationLabelSet;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_01.JPEG"</span>, <span class="stringliteral">"goldfinch"</span>));</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_02.JPEG"</span>, <span class="stringliteral">"magpie"</span>));</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_03.JPEG"</span>, <span class="stringliteral">"brambling"</span>));</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_04.JPEG"</span>, <span class="stringliteral">"robin"</span>));</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_05.JPEG"</span>, <span class="stringliteral">"indigo bird"</span>));</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_06.JPEG"</span>, <span class="stringliteral">"ostrich"</span>));</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_07.JPEG"</span>, <span class="stringliteral">"jay"</span>));</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_08.JPEG"</span>, <span class="stringliteral">"snowbird"</span>));</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_09.JPEG"</span>, <span class="stringliteral">"house finch"</span>));</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  validationLabelSet.insert(std::make_pair(<span class="stringliteral">"val_09.JPEG"</span>, <span class="stringliteral">"bulbul"</span>));</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>  <span class="keywordflow">return</span> validationLabelSet;</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>  <span class="keyword">const</span> std::vector<armnnUtils::LabelCategoryNames> GetModelOutputLabels()</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> std::vector<armnnUtils::LabelCategoryNames> modelOutputLabels =</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {<span class="stringliteral">"ostrich"</span>, <span class="stringliteral">"Struthio camelus"</span>},</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {<span class="stringliteral">"brambling"</span>, <span class="stringliteral">"Fringilla montifringilla"</span>},</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {<span class="stringliteral">"goldfinch"</span>, <span class="stringliteral">"Carduelis carduelis"</span>},</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {<span class="stringliteral">"house finch"</span>, <span class="stringliteral">"linnet"</span>, <span class="stringliteral">"Carpodacus mexicanus"</span>},</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {<span class="stringliteral">"junco"</span>, <span class="stringliteral">"snowbird"</span>},</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {<span class="stringliteral">"indigo bunting"</span>, <span class="stringliteral">"indigo finch"</span>, <span class="stringliteral">"indigo bird"</span>, <span class="stringliteral">"Passerina cyanea"</span>},</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {<span class="stringliteral">"robin"</span>, <span class="stringliteral">"American robin"</span>, <span class="stringliteral">"Turdus migratorius"</span>},</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {<span class="stringliteral">"bulbul"</span>},</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  {<span class="stringliteral">"jay"</span>},</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {<span class="stringliteral">"magpie"</span>}</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="keywordflow">return</span> modelOutputLabels;</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> };</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> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(ModelAccuracyCheckerTest)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a"> 55</a></span> using <a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> = mapbox::util::variant<<a class="code" href="namespacestd.xhtml">std</a>::vector<<span class="keywordtype">float</span>>, <a class="code" href="namespacestd.xhtml">std</a>::vector<<span class="keywordtype">int</span>>, <a class="code" href="namespacestd.xhtml">std</a>::vector<<span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>>>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="_model_accuracy_checker_test_8cpp.xhtml#a6c84958bfa219227328e6b29df3aa3d4"> 57</a></span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#a6c84958bfa219227328e6b29df3aa3d4">BOOST_FIXTURE_TEST_CASE</a>(TestFloat32OutputTensorAccuracy, TestHelper)</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>  <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">ModelAccuracyChecker</a> checker(GetValidationLabelSet(), GetModelOutputLabels());</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// Add image 1 and check accuracy</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::vector<float> inferenceOutputVector1 = {0.05f, 0.10f, 0.70f, 0.15f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> inference1Container(inferenceOutputVector1);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  std::vector<TContainer> outputTensor1;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  outputTensor1.push_back(inference1Container);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::string imageName = <span class="stringliteral">"val_01.JPEG"</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a><<a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a>>(imageName, outputTensor1);</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="comment">// Top 1 Accuracy</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">float</span> totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  BOOST_CHECK(totalAccuracy == 100.0f);</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>  <span class="comment">// Add image 2 and check accuracy</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  std::vector<float> inferenceOutputVector2 = {0.10f, 0.0f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> inference2Container(inferenceOutputVector2);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::vector<TContainer> outputTensor2;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  outputTensor2.push_back(inference2Container);</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>  imageName = <span class="stringliteral">"val_02.JPEG"</span>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a><<a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a>>(imageName, outputTensor2);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Top 1 Accuracy</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  BOOST_CHECK(totalAccuracy == 50.0f);</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>  <span class="comment">// Top 2 Accuracy</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(2);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  BOOST_CHECK(totalAccuracy == 100.0f);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Add image 3 and check accuracy</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  std::vector<float> inferenceOutputVector3 = {0.0f, 0.10f, 0.0f, 0.0f, 0.05f, 0.70f, 0.0f, 0.0f, 0.0f, 0.15f};</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> inference3Container(inferenceOutputVector3);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  std::vector<TContainer> outputTensor3;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  outputTensor3.push_back(inference3Container);</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>  imageName = <span class="stringliteral">"val_03.JPEG"</span>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#a38d140dac29d228fdd1681e465507c29">AddImageResult</a><<a class="code" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a>>(imageName, outputTensor3);</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">// Top 1 Accuracy</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  BOOST_CHECK(totalAccuracy == 33.3333321f);</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>  <span class="comment">// Top 2 Accuracy</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(2);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  BOOST_CHECK(totalAccuracy == 66.6666641f);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// Top 3 Accuracy</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(3);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  BOOST_CHECK(totalAccuracy == 100.0f);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</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> <a class="code" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_a6c84958bfa219227328e6b29df3aa3d4"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#a6c84958bfa219227328e6b29df3aa3d4">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(TestFloat32OutputTensorAccuracy, TestHelper)</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00057">ModelAccuracyCheckerTest.cpp:57</a></div></div>
<div class="ttc" id="_model_accuracy_checker_8hpp_xhtml"><div class="ttname"><a href="_model_accuracy_checker_8hpp.xhtml">ModelAccuracyChecker.hpp</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#l00022">ModelAccuracyChecker.cpp:22</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 &imageName, std::vector< TContainer > 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_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">armnn::TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_8cpp_source.xhtml#l00034">NetworkQuantizer.cpp:34</a></div></div>
<div class="ttc" id="namespacestd_xhtml"><div class="ttname"><a href="namespacestd.xhtml">std</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00147">BackendId.hpp:147</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</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>
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