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diff --git a/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml b/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml new file mode 100644 index 0000000000..fd64d55102 --- /dev/null +++ b/20.02/armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml @@ -0,0 +1,120 @@ +<!-- 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/SpaceToBatchND.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('armnn_tf_lite_parser_2test_2_space_to_batch_n_d_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">SpaceToBatchND.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_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> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <iostream></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <a class="code" href="_output_shape_of_squeeze_8cpp.xhtml#ae3a6cb217a792718f2bd0e8f45e3ca9e">BOOST_AUTO_TEST_SUITE</a>(TensorflowLiteParser)</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">struct </span>SpaceToBatchNDFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">explicit</span> SpaceToBatchNDFixture(<span class="keyword">const</span> std::string & inputShape,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::string & outputShape,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> std::string & blockShapeData,</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> std::string & padListData)</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": "SPACE_TO_BATCH_ND" } ],</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": )" + inputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> "type": "FLOAT32",</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": "inputTensor",</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": )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> "type": "FLOAT32",</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": "outputTensor",</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": [ 2 ],</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> "type": "INT32",</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": "blockShapeTensor",</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": [ 2, 2 ],</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> "type": "INT32",</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": "padListTensor",</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": [ 0 ],</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> "outputs": [ 1 ],</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, 2, 3 ],</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> "outputs": [ 1 ],</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> } ],</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> "buffers" : [</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"> { },</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> { "data": )" + blockShapeData + R</span><span class="stringliteral">"(, },</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> { "data": )" + padListData + R</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"> }</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</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><span class="keyword">struct </span>SpaceToBatchNDFixtureSimpleTest : <span class="keyword">public</span> SpaceToBatchNDFixture</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  SpaceToBatchNDFixtureSimpleTest() : SpaceToBatchNDFixture(<span class="stringliteral">"[ 1, 4, 4, 1 ]"</span>,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="stringliteral">"[ 4, 2, 2, 1 ]"</span>,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="stringliteral">"[ 2,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="stringliteral">"[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> };</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#aa2973fe74246341f807379c2990ec3d7"> 108</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#aa2973fe74246341f807379c2990ec3d7">BOOST_FIXTURE_TEST_CASE</a>(SpaceToBatchNdSimpleTest, SpaceToBatchNDFixtureSimpleTest)</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  (0,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  {{ <span class="stringliteral">"inputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  13.0f, 14.0f, 15.0f, 16.0f }}},</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {{ <span class="stringliteral">"outputTensor"</span>, { 1.0f, 3.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  2.0f, 4.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  5.0f, 7.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  6.0f, 8.0f, 14.0f, 16.0f }}});</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> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">struct </span>SpaceToBatchNDFixtureMultipleInputBatchesTest : <span class="keyword">public</span> SpaceToBatchNDFixture</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  SpaceToBatchNDFixtureMultipleInputBatchesTest() : SpaceToBatchNDFixture(<span class="stringliteral">"[ 2, 2, 4, 1 ]"</span>,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="stringliteral">"[ 8, 1, 2, 1 ]"</span>,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="stringliteral">"[ 2,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="stringliteral">"[ 0,0,0,0, 0,0,0,0, 0,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> };</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#a602e464a40130bf30de498b2325dc0a2"> 131</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#aa2973fe74246341f807379c2990ec3d7">BOOST_FIXTURE_TEST_CASE</a>(SpaceToBatchNdMultipleInputBatchesTest, SpaceToBatchNDFixtureMultipleInputBatchesTest)</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>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  (0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  {{ <span class="stringliteral">"inputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  13.0f, 14.0f, 15.0f, 16.0f }}},</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {{ <span class="stringliteral">"outputTensor"</span>, { 1.0f, 3.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  2.0f, 4.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  5.0f, 7.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  6.0f, 8.0f, 14.0f, 16.0f }}});</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keyword">struct </span>SpaceToBatchNDFixturePaddingTest : <span class="keyword">public</span> SpaceToBatchNDFixture</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  SpaceToBatchNDFixturePaddingTest() : SpaceToBatchNDFixture(<span class="stringliteral">"[ 1, 5, 2, 1 ]"</span>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="stringliteral">"[ 6, 2, 2, 1 ]"</span>,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="stringliteral">"[ 3,0,0,0, 2,0,0,0 ]"</span>,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="stringliteral">"[ 1,0,0,0, 0,0,0,0, 2,0,0,0, 0,0,0,0 ]"</span>) {}</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> };</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#a719ed25e02e79ff2ba848df3778aee60"> 153</a></span> <a class="code" href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#aa2973fe74246341f807379c2990ec3d7">BOOST_FIXTURE_TEST_CASE</a>(SpaceToBatchNdPaddingTest, SpaceToBatchNDFixturePaddingTest)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  RunTest<4, armnn::DataType::Float32></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  (0,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {{ <span class="stringliteral">"inputTensor"</span>, { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  6.0f, 7.0f, 8.0f, 9.0f, 10.0f }}},</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  {{ <span class="stringliteral">"outputTensor"</span>, { 0.0f, 0.0f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  0.0f, 5.0f,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  0.0f, 0.0f,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  0.0f, 6.0f,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  0.0f, 1.0f,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  0.0f, 7.0f,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  0.0f, 2.0f,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  0.0f, 8.0f,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  0.0f, 3.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  0.0f, 9.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  0.0f, 4.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  0.0f, 10.0f, }}});</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</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="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_xhtml_aa2973fe74246341f807379c2990ec3d7"><div class="ttname"><a href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml#aa2973fe74246341f807379c2990ec3d7">BOOST_FIXTURE_TEST_CASE</a></div><div class="ttdeci">BOOST_FIXTURE_TEST_CASE(SpaceToBatchNdSimpleTest, SpaceToBatchNDFixtureSimpleTest)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp_source.xhtml#l00108">SpaceToBatchND.cpp:108</a></div></div> +<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a769404f2985a027a0d626fedfd4de1e9"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">ParserFlatbuffersFixture::Setup</a></div><div class="ttdeci">void Setup()</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00061">ParserFlatbuffersFixture.hpp:61</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><!-- 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="armnn_tf_lite_parser_2test_2_space_to_batch_n_d_8cpp.xhtml">SpaceToBatchND.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> 1.8.13 </li> + </ul> +</div> +</body> +</html> |