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<a href="_l2_normalization_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;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &lt;boost/test/unit_test.hpp&gt;</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_parser_flatbuffers_fixture_8hpp.html">ParserFlatbuffersFixture.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;../TfLiteParser.hpp&quot;</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;string&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;iostream&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<a class="code" href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">struct </span>L2NormalizationFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <span class="keyword">explicit</span> L2NormalizationFixture(<span class="keyword">const</span> std::string &amp; inputOutputShape)</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; <a class="code" href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="stringliteral"> &quot;version&quot;: 3,</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="stringliteral"> &quot;operator_codes&quot;: [ { &quot;builtin_code&quot;: &quot;L2_NORMALIZATION&quot; } ],</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="stringliteral"> &quot;subgraphs&quot;: [ {</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="stringliteral"> &quot;tensors&quot;: [</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="stringliteral"> &quot;shape&quot;: )&quot; + inputOutputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;FLOAT32&quot;,</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 0,</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;inputTensor&quot;,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="stringliteral"> },</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="stringliteral"> &quot;shape&quot;: )&quot; + inputOutputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="stringliteral"> &quot;type&quot;: &quot;FLOAT32&quot;,</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="stringliteral"> &quot;buffer&quot;: 1,</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="stringliteral"> &quot;name&quot;: &quot;outputTensor&quot;,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="stringliteral"> &quot;quantization&quot;: {</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="stringliteral"> &quot;min&quot;: [ 0.0 ],</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;<span class="stringliteral"> &quot;max&quot;: [ 255.0 ],</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="stringliteral"> &quot;scale&quot;: [ 1.0 ],</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="stringliteral"> &quot;zero_point&quot;: [ 0 ],</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="stringliteral"> ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 0 ],</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="stringliteral"> &quot;operators&quot;: [</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="stringliteral"> {</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="stringliteral"> &quot;opcode_index&quot;: 0,</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="stringliteral"> &quot;inputs&quot;: [ 0 ],</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="stringliteral"> &quot;outputs&quot;: [ 1 ],</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="stringliteral"> &quot;custom_options_format&quot;: &quot;FLEXBUFFERS&quot;</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="stringliteral"> ],</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="stringliteral"> } ],</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="stringliteral"> &quot;buffers&quot; : [</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="stringliteral"> { }</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="stringliteral"> ]</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="stringliteral"> )&quot;;</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.html#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;<span class="stringliteral"> }</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="stringliteral">};</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55"> 70</a></span>&#160;<span class="stringliteral"></span><span class="keywordtype">float</span> <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>(std::initializer_list&lt;float&gt; elements)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;{</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> reduction = std::accumulate(elements.begin(), elements.end(), 0.0f,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; [](<span class="keywordtype">float</span> acc, <span class="keywordtype">float</span> element) { <span class="keywordflow">return</span> acc + element * element; });</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> eps = 1e-12f;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> max = reduction &lt; eps ? eps : reduction;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">return</span> sqrtf(max);</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;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="keyword">struct </span>L2NormalizationFixture4D : L2NormalizationFixture</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">// TfLite uses NHWC shape</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; L2NormalizationFixture4D() : L2NormalizationFixture(<span class="stringliteral">&quot;[ 1, 1, 4, 3 ]&quot;</span>) {}</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;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="_l2_normalization_8cpp.html#a87ccd9fa79d5d8ca2547ba83a96fef32"> 85</a></span>&#160;<a class="code" href="_l2_normalization_8cpp.html#a87ccd9fa79d5d8ca2547ba83a96fef32">BOOST_FIXTURE_TEST_CASE</a>(ParseL2Normalization4D, L2NormalizationFixture4D)</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; RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; 0,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; {{<span class="stringliteral">&quot;inputTensor&quot;</span>, { 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; 10.0f, 11.0f, 12.0f }}},</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; {{<span class="stringliteral">&quot;outputTensor&quot;</span>, { 1.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 1.0f, 2.0f, 3.0f }),</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; 2.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 1.0f, 2.0f, 3.0f }),</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 3.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 1.0f, 2.0f, 3.0f }),</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; 4.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 4.0f, 5.0f, 6.0f }),</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; 5.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 4.0f, 5.0f, 6.0f }),</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; 6.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 4.0f, 5.0f, 6.0f }),</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; 7.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 7.0f, 8.0f, 9.0f }),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; 8.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 7.0f, 8.0f, 9.0f }),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; 9.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 7.0f, 8.0f, 9.0f }),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; 10.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 10.0f, 11.0f, 12.0f }),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; 11.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 10.0f, 11.0f, 12.0f }),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; 12.0f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 10.0f, 11.0f, 12.0f }) }}});</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;}</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="keyword">struct </span>L2NormalizationSimpleFixture4D : L2NormalizationFixture</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; L2NormalizationSimpleFixture4D() : L2NormalizationFixture(<span class="stringliteral">&quot;[ 1, 1, 1, 4 ]&quot;</span>) {}</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;};</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"><a class="line" href="_l2_normalization_8cpp.html#afbd3754b38552049ea56b83aa2662b72"> 116</a></span>&#160;<a class="code" href="_l2_normalization_8cpp.html#a87ccd9fa79d5d8ca2547ba83a96fef32">BOOST_FIXTURE_TEST_CASE</a>(ParseL2NormalizationEps4D, L2NormalizationSimpleFixture4D)</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; RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; 0,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; {{<span class="stringliteral">&quot;inputTensor&quot;</span>, { 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }}},</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {{<span class="stringliteral">&quot;outputTensor&quot;</span>, { 0.00000001f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; 0.00000002f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; 0.00000003f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }),</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; 0.00000004f / <a class="code" href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a>({ 0.00000001f, 0.00000002f, 0.00000003f, 0.00000004f }) }}});</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;}</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;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="struct_parser_flatbuffers_fixture_html_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.html#a803c86dca3acef653c1cc481a27be7a9">ParserFlatbuffersFixture::m_JsonString</a></div><div class="ttdeci">std::string m_JsonString</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.html#l00051">ParserFlatbuffersFixture.hpp:51</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_html"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.html">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.html#l00037">ParserFlatbuffersFixture.hpp:37</a></div></div>
<div class="ttc" id="_l2_normalization_8cpp_html_a87ccd9fa79d5d8ca2547ba83a96fef32"><div class="ttname"><a href="_l2_normalization_8cpp.html#a87ccd9fa79d5d8ca2547ba83a96fef32">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ParseL2Normalization4D, L2NormalizationFixture4D)</div><div class="ttdef"><b>Definition:</b> <a href="_l2_normalization_8cpp_source.html#l00085">L2Normalization.cpp:85</a></div></div>
<div class="ttc" id="_profiler_tests_8cpp_html_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="_parser_flatbuffers_fixture_8hpp_html"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.html">ParserFlatbuffersFixture.hpp</a></div></div>
<div class="ttc" id="_output_shape_of_squeeze_8cpp_html_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.html#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE(TensorflowLiteParser)</div></div>
<div class="ttc" id="_l2_normalization_8cpp_html_a0803d66b952b025bab27f6204aabae55"><div class="ttname"><a href="_l2_normalization_8cpp.html#a0803d66b952b025bab27f6204aabae55">CalcL2Norm</a></div><div class="ttdeci">float CalcL2Norm(std::initializer_list&lt; float &gt; elements)</div><div class="ttdef"><b>Definition:</b> <a href="_l2_normalization_8cpp_source.html#l00070">L2Normalization.cpp:70</a></div></div>
<div class="ttc" id="struct_parser_flatbuffers_fixture_html_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.html#a769404f2985a027a0d626fedfd4de1e9">ParserFlatbuffersFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.html#l00061">ParserFlatbuffersFixture.hpp:61</a></div></div>
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