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<a href="_deserialize_rsqrt_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 © 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.xhtml">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.xhtml#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.xhtml">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.xhtml#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.xhtml#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.xhtml#a918c2ac03aa72913489c0787296ec489"> 106</a></span>&#160;<a class="code" href="_deserialize_rsqrt_8cpp.xhtml#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.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a>()</div><div class="ttc" id="_output_shape_of_squeeze_8cpp_xhtml_ae3a6cb217a792718f2bd0e8f45e3ca9e"><div class="ttname"><a href="_output_shape_of_squeeze_8cpp.xhtml#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_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#l00047">ParserFlatbuffersSerializeFixture.hpp:47</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#l00027">ParserFlatbuffersSerializeFixture.hpp:27</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="_profiler_tests_8cpp_xhtml_af7f71af5c6c124222dd1c42c5df892f4"><div class="ttname"><a href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END</a></div><div class="ttdeci">BOOST_AUTO_TEST_SUITE_END()</div></div>
<div class="ttc" id="struct_parser_flatbuffers_serialize_fixture_xhtml_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_serialize_fixture.xhtml#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.xhtml#l00037">ParserFlatbuffersSerializeFixture.hpp:37</a></div></div>
<div class="ttc" id="_deserialize_rsqrt_8cpp_xhtml_a918c2ac03aa72913489c0787296ec489"><div class="ttname"><a href="_deserialize_rsqrt_8cpp.xhtml#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.xhtml#l00106">DeserializeRsqrt.cpp:106</a></div></div>
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