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+<a href="_deserialize_elementwise_unary_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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2021 Arm Ltd and Contributors. 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 &quot;<a class="code" href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml">ParserFlatbuffersSerializeFixture.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_deserializer_8hpp.xhtml">armnnDeserializer/IDeserializer.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;string&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="_deserialize_elementwise_unary_8cpp.xhtml#a1a8c95407937e035a8b3adb1b48dc0e6">   11</a></span>&#160;<a class="code" href="_deserialize_elementwise_unary_8cpp.xhtml#a1a8c95407937e035a8b3adb1b48dc0e6">TEST_SUITE</a>(Deserializer)</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;<span class="keyword">struct </span>ElementwiseUnaryFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml">ParserFlatbuffersSerializeFixture</a></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">explicit</span> ElementwiseUnaryFixture(<span class="keyword">const</span> std::string&amp; inputShape,</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;                                     <span class="keyword">const</span> std::string&amp; outputShape,</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;                                     <span class="keyword">const</span> std::string&amp; dataType,</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;                                     <span class="keyword">const</span> std::string&amp; unaryOperation = <span class="stringliteral">&quot;Abs&quot;</span>)</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;    {</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;        m_JsonString = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="stringliteral">            {</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="stringliteral">                inputIds: [0],</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">                outputIds: [2],</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">                layers: [</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">                        layer_type: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="stringliteral">                        layer: {</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">                            base: {</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">                                layerBindingId: 0,</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="stringliteral">                                base: {</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="stringliteral">                                    index: 0,</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="stringliteral">                                    layerName: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">                                    layerType: &quot;Input&quot;,</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">                                    inputSlots: [{</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },</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">                                    outputSlots: [{</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">                                        tensorInfo: {</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">                                            dimensions: )&quot; + inputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="stringliteral">                                            dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="stringliteral">                                        }</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="stringliteral">                                    }]</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="stringliteral">                                }</span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="stringliteral">                            }</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">                        layer_type: &quot;ElementwiseUnaryLayer&quot;,</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">                        layer: {</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">                            base: {</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">                                index: 1,</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">                                layerName: &quot;ElementwiseUnaryLayer&quot;,</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">                                layerType: &quot;ElementwiseUnary&quot;,</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">                                inputSlots: [{</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="stringliteral">                                    index: 0,</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="stringliteral">                                    connection: {sourceLayerIndex:0, outputSlotIndex:0 },</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">                                outputSlots: [{</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="stringliteral">                                    index: 0,</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="stringliteral">                                    tensorInfo: {</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="stringliteral">                                        dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">                                        dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                                    }</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="stringliteral">                                }]</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">                            descriptor: {</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;<span class="stringliteral">                                activationFunction: )&quot; + unaryOperation + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;<span class="stringliteral">                            },</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="stringliteral">                        }</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="stringliteral">                    },</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="stringliteral">                    {</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="stringliteral">                        layer_type: &quot;OutputLayer&quot;,</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="stringliteral">                        layer: {</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="stringliteral">                            base:{</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="stringliteral">                                layerBindingId: 2,</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">                                base: {</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">                                    index: 2,</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">                                    layerName: &quot;OutputLayer&quot;,</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">                                    layerType: &quot;Output&quot;,</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">                                    inputSlots: [{</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="stringliteral">                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="stringliteral">                                    }],</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="stringliteral">                                    outputSlots: [{</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="stringliteral">                                        tensorInfo: {</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="stringliteral">                                            dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="stringliteral">                                            dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="stringliteral">                                        },</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="stringliteral">                                    }],</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="stringliteral">                                }</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;<span class="stringliteral">                            }</span></div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="stringliteral">                        },</span></div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="stringliteral">                    }</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;<span class="stringliteral">                ]</span></div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="stringliteral">            }</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="stringliteral">        )&quot;;</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="stringliteral">    }</span></div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="stringliteral">};</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="stringliteral"></span><span class="keyword">struct </span>SimpleAbsFixture : ElementwiseUnaryFixture</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;    SimpleAbsFixture() : ElementwiseUnaryFixture(<span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// inputShape</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                                                 <span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// outputShape</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;                                                 <span class="stringliteral">&quot;Float32&quot;</span>,        <span class="comment">// dataType</span></div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;                                                 <span class="stringliteral">&quot;Abs&quot;</span>)            <span class="comment">// unaryOperation</span></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;};</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;FIXTURE_TEST_CASE(SimpleAbsTest, SimpleAbsFixture)</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;    RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;        0,</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        {{<span class="stringliteral">&quot;InputLayer&quot;</span>, {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}},</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        {{<span class="stringliteral">&quot;OutputLayer&quot;</span>, {100.0f, 50.5f, 25.9999f, 0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}});</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;}</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="keyword">struct </span>SimpleLogFixture : ElementwiseUnaryFixture</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;    SimpleLogFixture() : ElementwiseUnaryFixture(<span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// inputShape</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                                                 <span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// outputShape</span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;                                                 <span class="stringliteral">&quot;Float32&quot;</span>,        <span class="comment">// dataType</span></div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;                                                 <span class="stringliteral">&quot;Log&quot;</span>)            <span class="comment">// unaryOperation</span></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;FIXTURE_TEST_CASE(SimpleLogTest, SimpleLogFixture)</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;{</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        0,</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        {{<span class="stringliteral">&quot;InputLayer&quot;</span>, {1.0f, 2.1f, 3.2f, 4.3f, 10.f, 100.f, 25.5f, 200.0f}}},</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;        {{<span class="stringliteral">&quot;OutputLayer&quot;</span>, {0.f, 0.74193734472f, 1.16315080981f, 1.4586150227f,</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                                                2.30258509299f, 4.60517018599f, 3.23867845216f, 5.29831736655f}}});</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;}</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;<span class="keyword">struct </span>SimpleNegFixture : ElementwiseUnaryFixture</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;{</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    SimpleNegFixture() : ElementwiseUnaryFixture(<span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// inputShape</span></div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                                                 <span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// outputShape</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                                                 <span class="stringliteral">&quot;Float32&quot;</span>,        <span class="comment">// dataType</span></div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                                                 <span class="stringliteral">&quot;Neg&quot;</span>)            <span class="comment">// unaryOperation</span></div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    {}</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;};</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;FIXTURE_TEST_CASE(SimpleNegTest, SimpleNegFixture)</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;{</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        0,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        {{<span class="stringliteral">&quot;InputLayer&quot;</span>, {100.0f, 50.5f, 25.9999f, 0.5f, 0.0f, -1.5555f, -25.5f, -100.0f}}},</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        {{<span class="stringliteral">&quot;OutputLayer&quot;</span>, {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}});</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;}</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<span class="keyword">struct </span>SimpleSinFixture : ElementwiseUnaryFixture</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    SimpleSinFixture() : ElementwiseUnaryFixture(<span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// inputShape</span></div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                                                 <span class="stringliteral">&quot;[ 1, 2, 2, 2 ]&quot;</span>, <span class="comment">// outputShape</span></div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                                                 <span class="stringliteral">&quot;Float32&quot;</span>,        <span class="comment">// dataType</span></div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                                                 <span class="stringliteral">&quot;Sin&quot;</span>)            <span class="comment">// unaryOperation</span></div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    {}</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;};</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;FIXTURE_TEST_CASE(SimpleSinTest, SimpleSinFixture)</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;{</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    RunTest&lt;4, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        0,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        {{<span class="stringliteral">&quot;InputLayer&quot;</span>, {-100.0f, -50.5f, -25.9999f, -0.5f, 0.0f, 1.5555f, 25.5f, 100.0f}}},</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        {{<span class="stringliteral">&quot;OutputLayer&quot;</span>, {0.50636564111f, -0.23237376165f, -0.76249375473f, -0.4794255386f,</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                                                0.0f, 0.99988301347f, 0.35905835402f, -0.50636564111f}}});</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;}</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;}</div><div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">ParserFlatbuffersSerializeFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00049">ParserFlatbuffersSerializeFixture.hpp:49</a></div></div>
+<div class="ttc" id="_deserialize_elementwise_unary_8cpp_xhtml_a1a8c95407937e035a8b3adb1b48dc0e6"><div class="ttname"><a href="_deserialize_elementwise_unary_8cpp.xhtml#a1a8c95407937e035a8b3adb1b48dc0e6">TEST_SUITE</a></div><div class="ttdeci">TEST_SUITE(Deserializer)</div><div class="ttdef"><b>Definition:</b> <a href="_deserialize_elementwise_unary_8cpp_source.xhtml#l00011">DeserializeElementwiseUnary.cpp:11</a></div></div>
+<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml">ParserFlatbuffersSerializeFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00029">ParserFlatbuffersSerializeFixture.hpp:29</a></div></div>
+<div class="ttc" id="_parser_flatbuffers_serialize_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_flatbuffers_serialize_fixture_8hpp.xhtml">ParserFlatbuffersSerializeFixture.hpp</a></div></div>
+<div class="ttc" id="_i_deserializer_8hpp_xhtml"><div class="ttname"><a href="_i_deserializer_8hpp.xhtml">IDeserializer.hpp</a></div></div>
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