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diff --git a/Documentation/_transpose_conv_8cpp_source.xhtml b/Documentation/_transpose_conv_8cpp_source.xhtml deleted file mode 100644 index 2440159e6a..0000000000 --- a/Documentation/_transpose_conv_8cpp_source.xhtml +++ /dev/null @@ -1,120 +0,0 @@ -<!-- Copyright (c) 2020 ARM Limited. --> -<!-- --> -<!-- SPDX-License-Identifier: MIT --> -<!-- --> -<!-- HTML header for doxygen 1.8.13--> -<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> -<html xmlns="http://www.w3.org/1999/xhtml"> -<head> -<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> -<meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> -<meta name="robots" content="NOINDEX, NOFOLLOW" /> -<meta name="viewport" content="width=device-width, initial-scale=1"/> -<title>ArmNN: src/armnnTfLiteParser/test/TransposeConv.cpp Source File</title> -<link href="tabs.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="jquery.js"></script> -<script type="text/javascript" src="dynsections.js"></script> -<link href="navtree.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="resize.js"></script> -<script type="text/javascript" src="navtreedata.js"></script> -<script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> -<link href="search/search.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="search/searchdata.js"></script> -<script type="text/javascript" src="search/search.js"></script> -<script type="text/x-mathjax-config"> - MathJax.Hub.Config({ - extensions: ["tex2jax.js"], - jax: ["input/TeX","output/HTML-CSS"], -}); -</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> -<link href="doxygen.css" rel="stylesheet" type="text/css" /> -<link href="stylesheet.css" rel="stylesheet" type="text/css"/> -</head> -<body> -<div id="top"><!-- do not remove this div, it is closed by doxygen! --> -<div id="titlearea"> -<table cellspacing="0" cellpadding="0"> - <tbody> - <tr style="height: 56px;"> - <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> - <td style="padding-left: 0.5em;"> - <div id="projectname"> -  <span id="projectnumber">20.02</span> - </div> - </td> - </tr> - </tbody> -</table> -</div> -<!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> -<script type="text/javascript"> -var searchBox = new SearchBox("searchBox", "search",false,'Search'); -</script> -<script type="text/javascript" src="menudata.js"></script> -<script type="text/javascript" src="menu.js"></script> -<script type="text/javascript"> -$(function() { - initMenu('',true,false,'search.php','Search'); - $(document).ready(function() { init_search(); }); -}); -</script> -<div id="main-nav"></div> -</div><!-- top --> -<div id="side-nav" class="ui-resizable side-nav-resizable"> - <div id="nav-tree"> - <div id="nav-tree-contents"> - <div id="nav-sync" class="sync"></div> - </div> - </div> - <div id="splitbar" style="-moz-user-select:none;" - class="ui-resizable-handle"> - </div> -</div> -<script type="text/javascript"> -$(document).ready(function(){initNavTree('_transpose_conv_8cpp_source.xhtml','');}); -</script> -<div id="doc-content"> -<!-- window showing the filter options --> -<div id="MSearchSelectWindow" - onmouseover="return searchBox.OnSearchSelectShow()" - onmouseout="return searchBox.OnSearchSelectHide()" - onkeydown="return searchBox.OnSearchSelectKey(event)"> -</div> - -<!-- iframe showing the search results (closed by default) --> -<div id="MSearchResultsWindow"> -<iframe src="javascript:void(0)" frameborder="0" - name="MSearchResults" id="MSearchResults"> -</iframe> -</div> - -<div class="header"> - <div class="headertitle"> -<div class="title">TransposeConv.cpp</div> </div> -</div><!--header--> -<div class="contents"> -<a href="_transpose_conv_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include <boost/test/unit_test.hpp></span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "../TfLiteParser.hpp"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">struct </span>TransposeConvFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">explicit</span> TransposeConvFixture(<span class="keyword">const</span> std::string& inputShape,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> std::string& outputShape,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::string& filterShape,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> std::string& filterData,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::string& strideX,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::string& strideY,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> std::string& dataType)</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">m_JsonString</a> = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> "operator_codes": [ { "builtin_code": "TRANSPOSE_CONV" } ],</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> "subgraphs": [ {</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> "tensors": [</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> "shape": [ 4 ],</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "type": "UINT8",</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "buffer": 0,</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> "name": "outputShapeTensor",</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> "shape": )" + filterShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "type": ")" + dataType + R</span><span class="stringliteral">"(",</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> "name": "filterTensor",</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> "shape": )" + inputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "type": ")" + dataType + R</span><span class="stringliteral">"(",</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> "name": "inputTensor",</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="stringliteral"> "shape": )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "type": ")" + dataType + R</span><span class="stringliteral">"(",</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> "buffer": 3,</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> "name": "outputTensor",</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> "min": [ 0.0 ],</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> "max": [ 255.0 ],</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> "scale": [ 1.0 ],</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> "zero_point": [ 0 ],</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> "inputs": [ 2 ],</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "outputs": [ 3 ],</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> "operators": [</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="stringliteral"> "opcode_index": 0,</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> "inputs": [ 0, 1, 2 ],</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> "outputs": [ 3 ],</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> "builtin_options_type": "TransposeConvOptions",</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> "builtin_options": {</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> "padding": "VALID",</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> "stride_w": )" + strideX + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> "stride_h": )" + strideY + R</span><span class="stringliteral">"(</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> } ],</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="stringliteral"> "buffers" : [</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> { "data": )" + outputShape + R</span><span class="stringliteral">"( },</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> { "data": )" + filterData + R</span><span class="stringliteral">"( },</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> { },</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> { }</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">SetupSingleInputSingleOutput</a>(</span><span class="stringliteral">"inputTensor"</span>, <span class="stringliteral">"outputTensor"</span>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> };</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="keyword">struct </span>SimpleTransposeConvFixture : TransposeConvFixture</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  SimpleTransposeConvFixture()</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  : TransposeConvFixture(<span class="stringliteral">"[ 1, 2, 2, 1 ]"</span>, <span class="comment">// inputShape</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="stringliteral">"[ 1, 3, 3, 1 ]"</span>, <span class="comment">// outputShape</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="stringliteral">"[ 1, 2, 2, 1 ]"</span>, <span class="comment">// filterShape</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="stringliteral">"[ 0, 1, 2, 4 ]"</span>, <span class="comment">// filterData</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="stringliteral">"1"</span>, <span class="comment">// strideX</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="stringliteral">"1"</span>, <span class="comment">// strideY</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="stringliteral">"UINT8"</span>) <span class="comment">// dataType</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {}</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="_transpose_conv_8cpp.xhtml#a37511916a01ebe15d975a580011d95f8"> 119</a></span> <a class="code" href="_transpose_conv_8cpp.xhtml#a37511916a01ebe15d975a580011d95f8">BOOST_FIXTURE_TEST_CASE</a>( ParseSimpleTransposeConv, SimpleTransposeConvFixture )</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  RunTest<4, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  0,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  1, 2,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  3, 4</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  },</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  0, 1, 2,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  2, 11, 12,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  6, 20, 16</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  });</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <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_fixture_xhtml_a803c86dca3acef653c1cc481a27be7a9"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a803c86dca3acef653c1cc481a27be7a9">ParserFlatbuffersFixture::m_JsonString</a></div><div class="ttdeci">std::string m_JsonString</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00051">ParserFlatbuffersFixture.hpp:51</a></div></div> -<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00037">ParserFlatbuffersFixture.hpp:37</a></div></div> -<div class="ttc" id="_parser_flatbuffers_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.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_fixture_xhtml_a2bb4ea256fbbf6d53068ca93bb4bc95c"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a2bb4ea256fbbf6d53068ca93bb4bc95c">ParserFlatbuffersFixture::SetupSingleInputSingleOutput</a></div><div class="ttdeci">void SetupSingleInputSingleOutput(const std::string &inputName, const std::string &outputName)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00094">ParserFlatbuffersFixture.hpp:94</a></div></div> -<div class="ttc" id="_transpose_conv_8cpp_xhtml_a37511916a01ebe15d975a580011d95f8"><div class="ttname"><a href="_transpose_conv_8cpp.xhtml#a37511916a01ebe15d975a580011d95f8">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(ParseSimpleTransposeConv, SimpleTransposeConvFixture)</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_conv_8cpp_source.xhtml#l00119">TransposeConv.cpp:119</a></div></div> -</div><!-- fragment --></div><!-- contents --> -</div><!-- doc-content --> -<!-- start footer part --> -<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> - <ul> - <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_510324e450b9df55f9aac2d01fae83d8.xhtml">armnnTfLiteParser</a></li><li class="navelem"><a class="el" href="dir_6d8d07609c57029a35488d2120e28fbd.xhtml">test</a></li><li class="navelem"><a class="el" href="_transpose_conv_8cpp.xhtml">TransposeConv.cpp</a></li> - <li class="footer">Generated on Fri Mar 13 2020 16:09:10 for ArmNN by - <a href="http://www.doxygen.org/index.html"> - <img class="footer" src="doxygen.png" alt="doxygen"/></a> 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