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+<a href="_deserialize_rsqrt_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>RsqrtFixture : <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> RsqrtFixture(<span class="keyword">const</span> std::string &amp; inputShape,</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;                          <span class="keyword">const</span> std::string &amp; outputShape,</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;                          <span class="keyword">const</span> std::string &amp; dataType)</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;        <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="l00022"></a><span class="lineno">   22</span>&#160;<span class="stringliteral">        {</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="stringliteral">                inputIds: [0],</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="stringliteral">                outputIds: [2],</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="stringliteral">                layers: [</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="stringliteral">                {</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="stringliteral">                    layer_type: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="stringliteral">                    layer: {</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="stringliteral">                          base: {</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="stringliteral">                                layerBindingId: 0,</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="stringliteral">                                base: {</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="stringliteral">                                    index: 0,</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="stringliteral">                                    layerName: &quot;InputLayer&quot;,</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="stringliteral">                                    layerType: &quot;Input&quot;,</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="stringliteral">                                    inputSlots: [{</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="stringliteral">                                        connection: {sourceLayerIndex:0, outputSlotIndex:0 },</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="stringliteral">                                    }],</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="stringliteral">                                    outputSlots: [ {</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="stringliteral">                                        tensorInfo: {</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="stringliteral">                                            dimensions: )&quot; + inputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;<span class="stringliteral">                                            dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</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">                layer_type: &quot;RsqrtLayer&quot;,</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="stringliteral">                layer : {</span></div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="stringliteral">                        base: {</span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="stringliteral">                             index:1,</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="stringliteral">                             layerName: &quot;RsqrtLayer&quot;,</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="stringliteral">                             layerType: &quot;Rsqrt&quot;,</span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="stringliteral">                             inputSlots: [</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="stringliteral">                                            {</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">                             ],</span></div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="stringliteral">                             outputSlots: [ {</span></div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="stringliteral">                                 index: 0,</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;<span class="stringliteral">                                 tensorInfo: {</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="stringliteral">                                     dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;<span class="stringliteral">                                     dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</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">                            }},</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">                layer_type: &quot;OutputLayer&quot;,</span></div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="stringliteral">                layer: {</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="stringliteral">                        base:{</span></div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="stringliteral">                              layerBindingId: 0,</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="stringliteral">                              base: {</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="stringliteral">                                    index: 2,</span></div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;<span class="stringliteral">                                    layerName: &quot;OutputLayer&quot;,</span></div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;<span class="stringliteral">                                    layerType: &quot;Output&quot;,</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;<span class="stringliteral">                                    inputSlots: [{</span></div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;<span class="stringliteral">                                        connection: {sourceLayerIndex:1, outputSlotIndex:0 },</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="stringliteral">                                    }],</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="stringliteral">                                    outputSlots: [ {</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="stringliteral">                                        index: 0,</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="stringliteral">                                        tensorInfo: {</span></div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="stringliteral">                                            dimensions: )&quot; + outputShape + R</span><span class="stringliteral">&quot;(,</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="stringliteral">                                            dataType: )&quot; + dataType + R</span><span class="stringliteral">&quot;(</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="stringliteral">                                        },</span></div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<span class="stringliteral">                                }],</span></div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;<span class="stringliteral">                            }}},</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">        )&quot;;</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</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="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"></span><span class="keyword">struct </span>Rsqrt2dFixture : RsqrtFixture</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;    Rsqrt2dFixture() : RsqrtFixture(<span class="stringliteral">&quot;[ 2, 2 ]&quot;</span>,</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;                                    <span class="stringliteral">&quot;[ 2, 2 ]&quot;</span>,</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;                                    <span class="stringliteral">&quot;Float32&quot;</span>) {}</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;};</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"><a class="line" href="_deserialize_rsqrt_8cpp.html#a918c2ac03aa72913489c0787296ec489">  106</a></span>&#160;<a class="code" href="_deserialize_rsqrt_8cpp.html#a918c2ac03aa72913489c0787296ec489">BOOST_FIXTURE_TEST_CASE</a>(Rsqrt2d, Rsqrt2dFixture)</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;  RunTest&lt;2, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;      0,</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;      {{<span class="stringliteral">&quot;InputLayer&quot;</span>, { 1.0f,  4.0f,</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;                        16.0f, 25.0f }}},</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;      {{<span class="stringliteral">&quot;OutputLayer&quot;</span>,{ 1.0f,  0.5f,</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                        0.25f, 0.2f }}});</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">  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="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>
+<div class="ttc" id="_deserialize_rsqrt_8cpp_html_a918c2ac03aa72913489c0787296ec489"><div class="ttname"><a href="_deserialize_rsqrt_8cpp.html#a918c2ac03aa72913489c0787296ec489">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(Rsqrt2d, Rsqrt2dFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_deserialize_rsqrt_8cpp_source.html#l00106">DeserializeRsqrt.cpp:106</a></div></div>
+<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>
+<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="_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="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>
+<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>
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