Documentation/_deserialize_subtraction_8cpp_source.html

   1 <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
   2 <html xmlns="http://www.w3.org/1999/xhtml">
   3 <head>
   4 <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
   5 <meta http-equiv="X-UA-Compatible" content="IE=9"/>
   6 <meta name="generator" content="Doxygen 1.8.13"/>
   7 <meta name="viewport" content="width=device-width, initial-scale=1"/>
   8 <title>ArmNN: src/armnnDeserializer/test/DeserializeSubtraction.cpp Source File</title>
   9 <link href="tabs.css" rel="stylesheet" type="text/css"/>
  10 <script type="text/javascript" src="jquery.js"></script>
  11 <script type="text/javascript" src="dynsections.js"></script>
  12 <link href="navtree.css" rel="stylesheet" type="text/css"/>
  13 <script type="text/javascript" src="resize.js"></script>
  14 <script type="text/javascript" src="navtreedata.js"></script>
  15 <script type="text/javascript" src="navtree.js"></script>
  16 <script type="text/javascript">
  17   $(document).ready(initResizable);
  18 </script>
  19 <link href="search/search.css" rel="stylesheet" type="text/css"/>
  20 <script type="text/javascript" src="search/searchdata.js"></script>
  21 <script type="text/javascript" src="search/search.js"></script>
  22 <link href="doxygen.css" rel="stylesheet" type="text/css" />
  23 </head>
  24 <body>
  25 <div id="top"><!-- do not remove this div, it is closed by doxygen! -->
  26 <div id="titlearea">
  27 <table cellspacing="0" cellpadding="0">
  28  <tbody>
  29  <tr style="height: 56px;">
  30   <td id="projectalign" style="padding-left: 0.5em;">
  31    <div id="projectname">ArmNN
  32    &#160;<span id="projectnumber">NotReleased</span>
  33    </div>
  34   </td>
  35  </tr>
  36  </tbody>
  37 </table>
  38 </div>
  39 <!-- end header part -->
  40 <!-- Generated by Doxygen 1.8.13 -->
  41 <script type="text/javascript">
  42 var searchBox = new SearchBox("searchBox", "search",false,'Search');
  43 </script>
  44 <script type="text/javascript" src="menudata.js"></script>
  45 <script type="text/javascript" src="menu.js"></script>
  46 <script type="text/javascript">
  47 $(function() {
  48   initMenu('',true,false,'search.php','Search');
  49   $(document).ready(function() { init_search(); });
  50 });
  51 </script>
  52 <div id="main-nav"></div>
  53 </div><!-- top -->
  54 <div id="side-nav" class="ui-resizable side-nav-resizable">
  55   <div id="nav-tree">
  56     <div id="nav-tree-contents">
  57       <div id="nav-sync" class="sync"></div>
  58     </div>
  59   </div>
  60   <div id="splitbar" style="-moz-user-select:none;"
  61        class="ui-resizable-handle">
  62   </div>
  63 </div>
  64 <script type="text/javascript">
  65 $(document).ready(function(){initNavTree('_deserialize_subtraction_8cpp_source.html','');});
  66 </script>
  67 <div id="doc-content">
  68 <!-- window showing the filter options -->
  69 <div id="MSearchSelectWindow"
  70      onmouseover="return searchBox.OnSearchSelectShow()"
  71      onmouseout="return searchBox.OnSearchSelectHide()"
  72      onkeydown="return searchBox.OnSearchSelectKey(event)">
  73 </div>
  74
  75 <!-- iframe showing the search results (closed by default) -->
  76 <div id="MSearchResultsWindow">
  77 <iframe src="javascript:void(0)" frameborder="0"
  78         name="MSearchResults" id="MSearchResults">
  79 </iframe>
  80 </div>
  81
  82 <div class="header">
  83   <div class="headertitle">
  84 <div class="title">DeserializeSubtraction.cpp</div>  </div>
  85 </div><!--header-->
  86 <div class="contents">
  87 <a href="_deserialize_subtraction_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_serialize_fixture_8hpp.html">ParserFlatbuffersSerializeFixture.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;../Deserializer.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>(Deserializer)</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>SubtractionFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.html">ParserFlatbuffersSerializeFixture</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> SubtractionFixture(<span class="keyword">const</span> std::string &amp; inputShape1,</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;                                <span class="keyword">const</span> std::string &amp; inputShape2,</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;                                <span class="keyword">const</span> std::string &amp; outputShape,</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;                                <span class="keyword">const</span> std::string &amp; dataType)</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    {</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;        <a class="code" href="struct_parser_flatbuffers_serialize_fixture.html#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> = R<span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">        {</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">            inputIds: [0, 1],</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="stringliteral">            outputIds: [3],</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="stringliteral">            layers: [</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="stringliteral">            {</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">                layer_type: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">                layer: {</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">                             layerBindingId: 0,</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="stringliteral">                             base: {</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">                                   index: 0,</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">                                   layerName: &quot;inputLayer1&quot;,</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">                                   layerType: &quot;Input&quot;,</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">                                   inputSlots: [{</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="stringliteral">                                       index: 0,</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="stringliteral">                                       connection: {sourceLayerIndex:0, outputSlotIndex:0 },</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">                                   }],</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">                                   outputSlots: [ {</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">                                       index: 0,</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="stringliteral">                                       tensorInfo: {</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="stringliteral">                                           dimensions: )&quot; + inputShape1 + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="stringliteral">                                           dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</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">            {</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">            layer_type: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">            layer: {</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">                   base: {</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">                         layerBindingId: 1,</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">                         base: {</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">                               index:1,</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;<span class="stringliteral">                               layerName: &quot;inputLayer2&quot;,</span></div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;<span class="stringliteral">                               layerType: &quot;Input&quot;,</span></div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;<span class="stringliteral">                               inputSlots: [{</span></div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;<span class="stringliteral">                                   index: 0,</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="stringliteral">                                   connection: {sourceLayerIndex:0, outputSlotIndex:0 },</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">                               outputSlots: [ {</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">                                   index: 0,</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                                   tensorInfo: {</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;<span class="stringliteral">                                       dimensions: )&quot; + inputShape2 + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="stringliteral">                                       dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</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">   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;SubtractionLayer&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">                          index:2,</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">                          layerName: &quot;subtractionLayer&quot;,</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">                          layerType: &quot;Subtraction&quot;,</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">                          inputSlots: [{</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">                              index: 0,</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">                              connection: {sourceLayerIndex:0, outputSlotIndex:0 },</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">                          },</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="stringliteral">                          {</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="stringliteral">                              index: 1,</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="stringliteral">                              connection: {sourceLayerIndex:1, outputSlotIndex:0 },</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="stringliteral">                          }],</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="stringliteral">                          outputSlots: [ {</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="stringliteral">                              index: 0,</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="stringliteral">                              tensorInfo: {</span></div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;<span class="stringliteral">                                  dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;<span class="stringliteral">                                  dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</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">            layer_type: &quot;OutputLayer&quot;,</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;<span class="stringliteral">            layer: {</span></div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;<span class="stringliteral">                   base:{</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;<span class="stringliteral">                         layerBindingId: 0,</span></div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;<span class="stringliteral">                         base: {</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;<span class="stringliteral">                               index: 3,</span></div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;<span class="stringliteral">                               layerName: &quot;outputLayer&quot;,</span></div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;<span class="stringliteral">                               layerType: &quot;Output&quot;,</span></div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;<span class="stringliteral">                               inputSlots: [{</span></div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;<span class="stringliteral">                                   index: 0,</span></div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;<span class="stringliteral">                                   connection: {sourceLayerIndex:2, outputSlotIndex:0 },</span></div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="stringliteral">                               }],</span></div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="stringliteral">                               outputSlots: [ {</span></div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="stringliteral">                                   index: 0,</span></div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="stringliteral">                                   tensorInfo: {</span></div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;<span class="stringliteral">                                       dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="stringliteral">                                       dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;<span class="stringliteral">                                   },</span></div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;<span class="stringliteral">                               }],</span></div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<span class="stringliteral">                        }}},</span></div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;<span class="stringliteral">            }]</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="stringliteral">        }</span></div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;<span class="stringliteral">        )&quot;;</span></div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;<span class="stringliteral">        <a class="code" href="struct_parser_flatbuffers_serialize_fixture.html#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="stringliteral">    }</span></div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<span class="stringliteral">};</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;<span class="stringliteral"></span></div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;<span class="stringliteral"></span><span class="keyword">struct </span>SimpleSubtractionFixture : SubtractionFixture</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;    SimpleSubtractionFixture() : SubtractionFixture(<span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;                                                    <span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;                                                    <span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                                                    <span class="stringliteral">&quot;QuantisedAsymm8&quot;</span>) {}</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;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;<span class="keyword">struct </span>SimpleSubtractionFixture2 : SubtractionFixture</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;{</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    SimpleSubtractionFixture2() : SubtractionFixture(<span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                                                     <span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                                                     <span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                                                     <span class="stringliteral">&quot;Float32&quot;</span>) {}</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;};</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;<span class="keyword">struct </span>SimpleSubtractionFixtureBroadcast : SubtractionFixture</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;{</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    SimpleSubtractionFixtureBroadcast() : SubtractionFixture(<span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                                                             <span class="stringliteral">&quot;[ 1, 1 ]&quot;</span>,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                                                             <span class="stringliteral">&quot;[ 1, 4 ]&quot;</span>,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                                                             <span class="stringliteral">&quot;Float32&quot;</span>) {}</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;</div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="_deserialize_subtraction_8cpp.html#aba00775818f29e63946ec77313f62acf">  149</a></span>&#160;<a class="code" href="_deserialize_subtraction_8cpp.html#aba00775818f29e63946ec77313f62acf">BOOST_FIXTURE_TEST_CASE</a>(SubtractionQuantisedAsymm8, SimpleSubtractionFixture)</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;{</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    RunTest&lt;2, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        0,</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        {{<span class="stringliteral">&quot;inputLayer1&quot;</span>, { 4, 5, 6, 7 }},</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;         {<span class="stringliteral">&quot;inputLayer2&quot;</span>, { 3, 2, 1, 0 }}},</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        {{<span class="stringliteral">&quot;outputLayer&quot;</span>, { 1, 3, 5, 7 }}});</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;}</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"><a class="line" href="_deserialize_subtraction_8cpp.html#a83e498411a99fc60683f1fa62d5bb6c4">  158</a></span>&#160;<a class="code" href="_deserialize_subtraction_8cpp.html#aba00775818f29e63946ec77313f62acf">BOOST_FIXTURE_TEST_CASE</a>(SubtractionFloat32, SimpleSubtractionFixture2)</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;{</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    RunTest&lt;2, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        0,</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;        {{<span class="stringliteral">&quot;inputLayer1&quot;</span>, { 4, 5, 6, 7 }},</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;         {<span class="stringliteral">&quot;inputLayer2&quot;</span>, { 3, 2, 1, 0 }}},</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;        {{<span class="stringliteral">&quot;outputLayer&quot;</span>, { 1, 3, 5, 7 }}});</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;}</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"><a class="line" href="_deserialize_subtraction_8cpp.html#ac890354d56c438756b5b488e6c9aa108">  167</a></span>&#160;<a class="code" href="_deserialize_subtraction_8cpp.html#aba00775818f29e63946ec77313f62acf">BOOST_FIXTURE_TEST_CASE</a>(SubtractionBroadcast, SimpleSubtractionFixtureBroadcast)</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;{</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    RunTest&lt;2, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        0,</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        {{<span class="stringliteral">&quot;inputLayer1&quot;</span>, { 4, 5, 6, 7 }},</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;         {<span class="stringliteral">&quot;inputLayer2&quot;</span>, { 2 }}},</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        {{<span class="stringliteral">&quot;outputLayer&quot;</span>, { 2, 3, 4, 5 }}});</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;}</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<a class="code" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_deserialize_subtraction_8cpp_html_aba00775818f29e63946ec77313f62acf"><div class="ttname"><a href="_deserialize_subtraction_8cpp.html#aba00775818f29e63946ec77313f62acf">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(SubtractionQuantisedAsymm8, SimpleSubtractionFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_deserialize_subtraction_8cpp_source.html#l00149">DeserializeSubtraction.cpp:149</a></div></div>
  88 <div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_html"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.html">ParserFlatbuffersSerializeFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.html#l00028">ParserFlatbuffersSerializeFixture.hpp:28</a></div></div>
  89 <div class="ttc" id="_parser_flatbuffers_serialize_fixture_8hpp_html"><div class="ttname"><a href="_parser_flatbuffers_serialize_fixture_8hpp.html">ParserFlatbuffersSerializeFixture.hpp</a></div></div>
  90 <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>
  91 <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>
  92 <div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_html_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.html#a803c86dca3acef653c1cc481a27be7a9">ParserFlatbuffersSerializeFixture::m_JsonString</a></div><div class="ttdeci">std::string m_JsonString</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_serialize_fixture_8hpp_source.html#l00038">ParserFlatbuffersSerializeFixture.hpp:38</a></div></div>
  93 <div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_html_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.html#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.html#l00048">ParserFlatbuffersSerializeFixture.hpp:48</a></div></div>
  94 </div><!-- fragment --></div><!-- contents -->
  95 </div><!-- doc-content -->
  96 <!-- start footer part -->
  97 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
  98   <ul>
  99     <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_926e64104daaa2ed9ca6061297f76df9.html">armnnDeserializer</a></li><li class="navelem"><a class="el" href="dir_5f8021bbd8815b3505ceb680cf087e1e.html">test</a></li><li class="navelem"><a class="el" href="_deserialize_subtraction_8cpp.html">DeserializeSubtraction.cpp</a></li>
 100     <li class="footer">Generated on Fri Mar 13 2020 16:06:55 for ArmNN by
 101     <a href="http://www.doxygen.org/index.html">
 102     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
 103   </ul>
 104 </div>
 105 </body>
 106 </html>