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<div class="title">ModelAccuracyCheckerTest.cpp</div> </div>
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<a href="_model_accuracy_checker_test_8cpp.html">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;<span class="preprocessor">#include &quot;<a class="code" href="_model_accuracy_checker_8hpp.html">ModelAccuracyChecker.hpp</a>&quot;</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;boost/algorithm/string.hpp&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;boost/filesystem.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;boost/optional.hpp&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;boost/variant.hpp&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</a>;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span>{</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">struct </span>TestHelper</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> std::map&lt;std::string, std::string&gt; GetValidationLabelSet()</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160; {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; std::map&lt;std::string, std::string&gt; validationLabelSet;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_01.JPEG&quot;</span>, <span class="stringliteral">&quot;goldfinch&quot;</span>));</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_02.JPEG&quot;</span>, <span class="stringliteral">&quot;magpie&quot;</span>));</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_03.JPEG&quot;</span>, <span class="stringliteral">&quot;brambling&quot;</span>));</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_04.JPEG&quot;</span>, <span class="stringliteral">&quot;robin&quot;</span>));</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_05.JPEG&quot;</span>, <span class="stringliteral">&quot;indigo bird&quot;</span>));</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_06.JPEG&quot;</span>, <span class="stringliteral">&quot;ostrich&quot;</span>));</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_07.JPEG&quot;</span>, <span class="stringliteral">&quot;jay&quot;</span>));</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_08.JPEG&quot;</span>, <span class="stringliteral">&quot;snowbird&quot;</span>));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_09.JPEG&quot;</span>, <span class="stringliteral">&quot;house finch&quot;</span>));</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; validationLabelSet.insert(std::make_pair(<span class="stringliteral">&quot;val_09.JPEG&quot;</span>, <span class="stringliteral">&quot;bulbul&quot;</span>));</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">return</span> validationLabelSet;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keyword">const</span> std::vector&lt;armnnUtils::LabelCategoryNames&gt; GetModelOutputLabels()</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keyword">const</span> std::vector&lt;armnnUtils::LabelCategoryNames&gt; modelOutputLabels =</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; {<span class="stringliteral">&quot;ostrich&quot;</span>, <span class="stringliteral">&quot;Struthio camelus&quot;</span>},</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {<span class="stringliteral">&quot;brambling&quot;</span>, <span class="stringliteral">&quot;Fringilla montifringilla&quot;</span>},</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; {<span class="stringliteral">&quot;goldfinch&quot;</span>, <span class="stringliteral">&quot;Carduelis carduelis&quot;</span>},</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; {<span class="stringliteral">&quot;house finch&quot;</span>, <span class="stringliteral">&quot;linnet&quot;</span>, <span class="stringliteral">&quot;Carpodacus mexicanus&quot;</span>},</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {<span class="stringliteral">&quot;junco&quot;</span>, <span class="stringliteral">&quot;snowbird&quot;</span>},</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {<span class="stringliteral">&quot;indigo bunting&quot;</span>, <span class="stringliteral">&quot;indigo finch&quot;</span>, <span class="stringliteral">&quot;indigo bird&quot;</span>, <span class="stringliteral">&quot;Passerina cyanea&quot;</span>},</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {<span class="stringliteral">&quot;robin&quot;</span>, <span class="stringliteral">&quot;American robin&quot;</span>, <span class="stringliteral">&quot;Turdus migratorius&quot;</span>},</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; {<span class="stringliteral">&quot;bulbul&quot;</span>},</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; {<span class="stringliteral">&quot;jay&quot;</span>},</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {<span class="stringliteral">&quot;magpie&quot;</span>}</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; };</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">return</span> modelOutputLabels;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;};</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;}</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(ModelAccuracyCheckerTest)</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100"> 59</a></span>&#160;using <a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> = <a class="code" href="namespaceboost.html">boost</a>::variant&lt;<a class="code" href="namespacestd.html">std</a>::vector&lt;<span class="keywordtype">float</span>&gt;, <a class="code" href="namespacestd.html">std</a>::vector&lt;<span class="keywordtype">int</span>&gt;, <a class="code" href="namespacestd.html">std</a>::vector&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">char</span>&gt;&gt;;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="_model_accuracy_checker_test_8cpp.html#a6c84958bfa219227328e6b29df3aa3d4"> 61</a></span>&#160;<a class="code" href="_model_accuracy_checker_test_8cpp.html#a6c84958bfa219227328e6b29df3aa3d4">BOOST_FIXTURE_TEST_CASE</a>(TestFloat32OutputTensorAccuracy, TestHelper)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html">ModelAccuracyChecker</a> checker(GetValidationLabelSet(), GetModelOutputLabels());</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="comment">// Add image 1 and check accuracy</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; std::vector&lt;float&gt; 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="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> inference1Container(inferenceOutputVector1);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; std::vector&lt;TContainer&gt; outputTensor1;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; outputTensor1.push_back(inference1Container);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::string imageName = <span class="stringliteral">&quot;val_01.JPEG&quot;</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#a38d140dac29d228fdd1681e465507c29">AddImageResult</a>&lt;<a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>&gt;(imageName, outputTensor1);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="comment">// Top 1 Accuracy</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordtype">float</span> totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 100.0f);</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; <span class="comment">// Add image 2 and check accuracy</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; std::vector&lt;float&gt; 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="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> inference2Container(inferenceOutputVector2);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; std::vector&lt;TContainer&gt; outputTensor2;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; outputTensor2.push_back(inference2Container);</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; imageName = <span class="stringliteral">&quot;val_02.JPEG&quot;</span>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#a38d140dac29d228fdd1681e465507c29">AddImageResult</a>&lt;<a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>&gt;(imageName, outputTensor2);</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="comment">// Top 1 Accuracy</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 50.0f);</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; <span class="comment">// Top 2 Accuracy</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(2);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 100.0f);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="comment">// Add image 3 and check accuracy</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; std::vector&lt;float&gt; 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="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> inference3Container(inferenceOutputVector3);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; std::vector&lt;TContainer&gt; outputTensor3;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; outputTensor3.push_back(inference3Container);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; imageName = <span class="stringliteral">&quot;val_03.JPEG&quot;</span>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#a38d140dac29d228fdd1681e465507c29">AddImageResult</a>&lt;<a class="code" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>&gt;(imageName, outputTensor3);</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; <span class="comment">// Top 1 Accuracy</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(1);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 33.3333321f);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// Top 2 Accuracy</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(2);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 66.6666641f);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// Top 3 Accuracy</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; totalAccuracy = checker.<a class="code" href="classarmnn_utils_1_1_model_accuracy_checker.html#ad6ddd3b77dd12eb33875d58a391b2412">GetAccuracy</a>(3);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(totalAccuracy == 100.0f);</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;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="namespaceboost_html"><div class="ttname"><a href="namespaceboost.html">boost</a></div></div>
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<div class="ttc" id="namespacearmnn_html_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">armnn::TContainer</a></div><div class="ttdeci">boost::variant&lt; std::vector&lt; float &gt;, std::vector&lt; int &gt;, std::vector&lt; unsigned char &gt; &gt; TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_8cpp_source.html#l00033">NetworkQuantizer.cpp:33</a></div></div>
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