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| author | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
|---|---|---|
| committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-05-24 11:32:07 +0100 |
| commit | 549b9600a6eaf0727fa084465a75f173edf8f381 (patch) | |
| tree | 9c9b054417504444fff067b74eaa1811b74e6d06 /22.05/_deserialize_convolution3d_8cpp.xhtml | |
| parent | f4019872c1134c6fcc1d6993e5746f55c1e79208 (diff) | |
| download | armnn-549b9600a6eaf0727fa084465a75f173edf8f381.tar.gz | |
Update 22.05 Doxygen Docs after updates to main Readme
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I56711772406a41ff81fa136a5fb6c59c9b9cf504
Diffstat (limited to '22.05/_deserialize_convolution3d_8cpp.xhtml')
| -rw-r--r-- | 22.05/_deserialize_convolution3d_8cpp.xhtml | 152 |
1 files changed, 152 insertions, 0 deletions
diff --git a/22.05/_deserialize_convolution3d_8cpp.xhtml b/22.05/_deserialize_convolution3d_8cpp.xhtml new file mode 100644 index 0000000000..87ecad5ffa --- /dev/null +++ b/22.05/_deserialize_convolution3d_8cpp.xhtml @@ -0,0 +1,152 @@ +<!-- 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/armnnDeserializer/test/DeserializeConvolution3d.cpp File Reference</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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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('_deserialize_convolution3d_8cpp.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="summary"> +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">DeserializeConvolution3d.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml">ParserFlatbuffersSerializeFixture.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_i_deserializer_8hpp_source.xhtml">armnnDeserializer/IDeserializer.hpp</a>></code><br /> +<code>#include <string></code><br /> +</div> +<p><a href="_deserialize_convolution3d_8cpp_source.xhtml">Go to the source code of this file.</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a9fba08001d9a94d5ed41f0e72d02619a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="_deserialize_convolution3d_8cpp.xhtml#a9fba08001d9a94d5ed41f0e72d02619a">TEST_SUITE</a> ("Deserializer_Convolution3d")</td></tr> +<tr class="separator:a9fba08001d9a94d5ed41f0e72d02619a"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a9fba08001d9a94d5ed41f0e72d02619a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9fba08001d9a94d5ed41f0e72d02619a">◆ </a></span>TEST_SUITE()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">TEST_SUITE </td> + <td>(</td> + <td class="paramtype">"Deserializer_Convolution3d" </td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_deserialize_convolution3d_8cpp_source.xhtml#l00011">11</a> of file <a class="el" href="_deserialize_convolution3d_8cpp_source.xhtml">DeserializeConvolution3d.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_parser_flatbuffers_serialize_fixture_8hpp_source.xhtml#l00049">ParserFlatbuffersSerializeFixture::Setup()</a>, and <a class="el" href="_mem_copy_tests_8cpp_source.xhtml#l00089">TEST_CASE_FIXTURE()</a>.</p> +<div class="fragment"><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> <span class="keyword">struct </span>Convolution3dFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml">ParserFlatbuffersSerializeFixture</a></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">explicit</span> Convolution3dFixture(<span class="keyword">const</span> std::string& inputShape,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::string& outputShape,</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="keyword">const</span> std::string& weightsShape,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> std::string& dataType)</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  m_JsonString = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> inputIds: [0],</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="stringliteral"> outputIds: [2],</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="stringliteral"> layers: [</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="stringliteral"> layer_type: "InputLayer",</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="stringliteral"> layer: {</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="stringliteral"> layerBindingId: 0,</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> layerName: "InputLayer",</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> layerType: "Input",</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> inputSlots: [</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="stringliteral"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> outputSlots: [</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> tensorInfo: {</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="stringliteral"> dimensions: )" + inputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="stringliteral"> dataType: )" + dataType + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="stringliteral"> quantizationScale: 0.1,</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="stringliteral"> dimensionSpecificity: [</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> true</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> }</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"> }</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="stringliteral"> layer_type: "ConstantLayer",</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="stringliteral"> layer: {</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="stringliteral"> index: 1,</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="stringliteral"> layerName: "Weights",</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="stringliteral"> layerType: "Constant",</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="stringliteral"> inputSlots: [</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"> ],</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="stringliteral"> outputSlots: [</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="stringliteral"> tensorInfo: {</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="stringliteral"> dimensions: )" + weightsShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="stringliteral"> dataType: )" + dataType + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="stringliteral"> quantizationScale: 0.1,</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="stringliteral"> dimensionSpecificity: [</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="stringliteral"> true</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="stringliteral"> }</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"> ]</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="stringliteral"> input: {</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="stringliteral"> info: {</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="stringliteral"> dimensions: )" + weightsShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="stringliteral"> dataType: )" + dataType + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="stringliteral"> quantizationScale: 0.1,</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="stringliteral"> dimensionSpecificity: [</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="stringliteral"> true</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"> data_type: "ByteData",</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="stringliteral"> data: {</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="stringliteral"> data: [</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="stringliteral"> 1, 1, 1,</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="stringliteral"> 1, 1, 1,</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="stringliteral"> 1, 1, 1,</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="stringliteral"></span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="stringliteral"> 0, 0, 0,</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="stringliteral"> 0, 0, 0,</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="stringliteral"> 0, 0, 0,</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="stringliteral"></span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="stringliteral"> 0, 0, 0,</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="stringliteral"> 0, 0, 0,</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="stringliteral"> 0, 0, 0</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="stringliteral"> layer_type: "Convolution3dLayer",</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"> layer: {</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="stringliteral"> index: 2,</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="stringliteral"> layerName: "convolution3d",</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="stringliteral"> layerType: "Convolution3d",</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="stringliteral"> inputSlots: [</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="stringliteral"> connection: {</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="stringliteral"> sourceLayerIndex: 0,</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="stringliteral"> outputSlotIndex: 0</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="stringliteral"> index: 1,</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="stringliteral"> connection: {</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="stringliteral"> sourceLayerIndex: 1,</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="stringliteral"> outputSlotIndex: 0</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="stringliteral"> outputSlots: [</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="stringliteral"> tensorInfo: {</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="stringliteral"> dimensions: )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="stringliteral"> dataType: )" + dataType + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="stringliteral"> quantizationScale: 0.1,</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="stringliteral"> dimensionSpecificity: [</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="stringliteral"> true,</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="stringliteral"> true</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="stringliteral"> descriptor: {</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="stringliteral"> strideX: 2,</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="stringliteral"> strideY: 2,</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="stringliteral"> strideZ: 2</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="stringliteral"> layer_type: "OutputLayer",</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="stringliteral"> layer: {</span></div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="stringliteral"> layerBindingId: 2,</span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="stringliteral"> base: {</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="stringliteral"> index: 3,</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="stringliteral"> layerName: "OutputLayer",</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="stringliteral"> layerType: "Output",</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="stringliteral"> inputSlots: [</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="stringliteral"> connection: {</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="stringliteral"> sourceLayerIndex: 2,</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="stringliteral"> outputSlotIndex: 0</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="stringliteral"> outputSlots: [</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="stringliteral"></span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="stringliteral"> featureVersions: {</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="stringliteral"> bindingIdsScheme: 1,</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="stringliteral"> weightsLayoutScheme: 1,</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="stringliteral"> constantTensorsAsInputs: 1</span></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_serialize_fixture.xhtml#a769404f2985a027a0d626fedfd4de1e9">Setup</a>();</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="stringliteral"></span></div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="stringliteral"></span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="stringliteral"></span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="stringliteral"></span><span class="keyword">struct </span>SimpleConvolution3dFixture : Convolution3dFixture</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  SimpleConvolution3dFixture() : Convolution3dFixture(</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="stringliteral">"[ 1, 5, 5, 5, 1 ]"</span>,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="stringliteral">"[ 1, 2, 2, 2, 1 ]"</span>,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="stringliteral">"[ 3, 3, 3, 1, 1 ]"</span>,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="stringliteral">"QAsymmS8"</span>) {}</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> };</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(SimpleConvolution3dFixture, <span class="stringliteral">"Convolution3dInt8"</span>)</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  RunTest<5, armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  0,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {{<span class="stringliteral">"InputLayer"</span>, { 0, 1, 2, 3, 4,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  5, 6, 7, 8, 9,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  10, 11, 12, 13, 14,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  15, 16, 17, 18, 19,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  20, 21, 22, 23, 24,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  25, 26, 27, 28, 29,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  30, 31, 32, 33, 34,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  35, 36, 37, 38, 39,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  40, 41, 42, 43, 44,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  45, 46, 47, 48, 49,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  50, 51, 52, 53, 54,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  55, 56, 57, 58, 59,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  60, 61, 62, 63, 64,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  65, 66, 67, 68, 69,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  70, 71, 72, 73, 74,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  75, 76, 77, 78, 79,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  80, 81, 82, 83, 84,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  85, 86, 87, 88, 89,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  90, 91, 92, 93, 94,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  95, 96, 97, 98, 99,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  100, 101, 102, 103, 104,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  105, 106, 107, 108, 109,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  110, 111, 112, 113, 114,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  115, 116, 117, 118, 119,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  120, 121, 122, 123, 124</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }}},</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {{<span class="stringliteral">"OutputLayer"</span>, {5, 7,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  14, 16,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  50, 52,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  59, 61}}});</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</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#l00049">ParserFlatbuffersSerializeFixture.hpp:49</a></div></div> +<div class="ttc" id="_mem_copy_tests_8cpp_xhtml_a3df1acc0ccc35bce0bd6c027e23e2c45"><div class="ttname"><a href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a></div><div class="ttdeci">TEST_CASE_FIXTURE(ClContextControlFixture, "CopyBetweenNeonAndGpu")</div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_tests_8cpp_source.xhtml#l00089">MemCopyTests.cpp:89</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#l00029">ParserFlatbuffersSerializeFixture.hpp:29</a></div></div> +</div><!-- fragment --> +</div> +</div> +</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_926e64104daaa2ed9ca6061297f76df9.xhtml">armnnDeserializer</a></li><li class="navelem"><a class="el" href="dir_5f8021bbd8815b3505ceb680cf087e1e.xhtml">test</a></li><li class="navelem"><a class="el" href="_deserialize_convolution3d_8cpp.xhtml">DeserializeConvolution3d.cpp</a></li> + <li class="footer">Generated on Tue May 24 2022 11:27:16 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> |