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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-06-17 13:24:58 +0100 |
commit | d5d43d82c0137e08553e44345c609cdd1a7931c7 (patch) | |
tree | f1509f7fa94db0373a2c127682dd3d0ccc1915bd /22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml | |
parent | 549b9600a6eaf0727fa084465a75f173edf8f381 (diff) | |
download | armnn-d5d43d82c0137e08553e44345c609cdd1a7931c7.tar.gz |
Update Doxygen for 22.05 patch release
* Pooling3D added to tfLite delegate
* Available in tag 22.05.01
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8d605bba4e87d30baa2c6d7b338c78a4400dc021
Diffstat (limited to '22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml')
-rw-r--r-- | 22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml b/22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml new file mode 100644 index 0000000000..0ebd76a359 --- /dev/null +++ b/22.05.01/armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml @@ -0,0 +1,119 @@ +<!-- 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/LoadScopeDynamicTensor.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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.05.01</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(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_load_scope_dynamic_tensor_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">LoadScopeDynamicTensor.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_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 © 2020 Arm Ltd and Contributors. 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 "<a class="code" href="_i_tf_lite_parser_8hpp.xhtml">armnnTfLiteParser/ITfLiteParser.hpp</a>"</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> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"><a class="line" href="armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp.xhtml#a3ddf5ffda3910856c6981d07a6459f75"> 10</a></span> <a class="code" href="armnn_onnx_parser_2test_2_load_scope_dynamic_tensor_8cpp.xhtml#af0862fef9a0fff84a9f2f43c8a942780">TEST_SUITE</a>(<span class="stringliteral">"TensorflowLiteParser_LoadScopeDynamicTensor"</span>)</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>LoadScopeDynamicTensorFixture : <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> LoadScopeDynamicTensorFixture(<span class="keyword">const</span> std::string& shape0,</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  <span class="keyword">const</span> std::string& shape1,</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> std::string& shape2)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  {</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  m_JsonString = R<span class="stringliteral">"(</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="stringliteral"> "version": 3,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="stringliteral"> "operator_codes": [</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="stringliteral"> {</span></div><div class="line"><a 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name="l00031"></a><span class="lineno"> 31</span> <span class="stringliteral"> "subgraphs": [</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="stringliteral"> "tensors": [</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"> "shape": )" + shape0 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="stringliteral"> "name": 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"shape": )" + shape1 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="stringliteral"> "buffer": 3,</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="stringliteral"> "name": "output",</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="stringliteral"> },</span></div><div class="line"><a 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name="l00117"></a><span class="lineno"> 117</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="stringliteral"> ]</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"> )";</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="stringliteral"> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml#a30fe33b872259560a868fc9b94195ec0">Setup</a>();</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="stringliteral"> }</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><span class="keyword">struct </span>LoadScopeDynamicTensor0Fixture : LoadScopeDynamicTensorFixture</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  LoadScopeDynamicTensor0Fixture() : LoadScopeDynamicTensorFixture(<span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>, <span class="stringliteral">"[]"</span>, <span class="stringliteral">"[]"</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> <span class="keyword">struct </span>LoadScopeDynamicTensor1Fixture : LoadScopeDynamicTensorFixture</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  LoadScopeDynamicTensor1Fixture() : LoadScopeDynamicTensorFixture(<span class="stringliteral">"[ 1, 2, 4, 1 ]"</span>, <span class="stringliteral">"[ 1, 1, 2, 1 ]"</span>, <span class="stringliteral">"[]"</span>) {}</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> };</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="keyword">struct </span>LoadScopeDynamicTensor2Fixture : LoadScopeDynamicTensorFixture</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  LoadScopeDynamicTensor2Fixture() : LoadScopeDynamicTensorFixture(<span class="stringliteral">"[ 1, 3, 3, 2 ]"</span>, <span class="stringliteral">"[ ]"</span>, <span class="stringliteral">"[ 1, 1, 1, 2 ]"</span>) {}</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> };</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensor0Fixture, <span class="stringliteral">"LoadScopeDynamicTensor0"</span>)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  0,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  { {<span class="stringliteral">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }} },</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  { {<span class="stringliteral">"output"</span>, { 0.26894143f, 0.7310586f }} },</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">true</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"> 153</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensor1Fixture, <span class="stringliteral">"LoadScopeDynamicTensor1"</span>)</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, 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">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f }} },</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  { {<span class="stringliteral">"output"</span>, { 1.f, 1.f }} },</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> }</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> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensor2Fixture, <span class="stringliteral">"LoadScopeDynamicTensor2"</span>)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  0,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  { {<span class="stringliteral">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }} },</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  { {<span class="stringliteral">"output"</span>, { 0.7772999f, 0.22270015f }} },</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> }</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> <span class="keyword">struct </span>LoadScopeDynamicTensorBroadcastingFixture : <span class="keyword">public</span> <a class="code" href="struct_parser_flatbuffers_fixture.xhtml">ParserFlatbuffersFixture</a></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">explicit</span> LoadScopeDynamicTensorBroadcastingFixture(<span class="keyword">const</span> std::string& inputShape0,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> std::string& inputShape1,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> std::string& inputShape2,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> std::string& addShape,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> std::string& outputShape)</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  m_JsonString = R<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"> "version": 3,</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="stringliteral"> "operator_codes": [</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"> "builtin_code": "ADD",</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="stringliteral"> "version": 1</span></div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="stringliteral"> "builtin_code": "SUB",</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="stringliteral"> "version": 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"> "subgraphs": [</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="stringliteral"> "tensors": [</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"> "shape": )" + inputShape0 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="stringliteral"> "buffer": 1,</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="stringliteral"> "name": "input0",</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="stringliteral"> "is_variable": false</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="stringliteral"> "shape": )" + inputShape1 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="stringliteral"> "buffer": 2,</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> <span class="stringliteral"> "name": "input1",</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> <span class="stringliteral"> "is_variable": false</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="stringliteral"> "shape": )" + outputShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="stringliteral"> "buffer": 5,</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="stringliteral"> "name": "output",</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> <span class="stringliteral"> "is_variable": false</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> <span class="stringliteral"></span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="stringliteral"> "shape": )" + addShape + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> <span class="stringliteral"> "buffer": 4,</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="stringliteral"> "name": "model/add/add",</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> <span class="stringliteral"> "is_variable": false</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="stringliteral"> "shape": )" + inputShape2 + R</span><span class="stringliteral">"(,</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> <span class="stringliteral"> "type": "FLOAT32",</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> <span class="stringliteral"> "buffer": 3,</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="stringliteral"> "name": "input2",</span></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="stringliteral"> "quantization": {</span></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="stringliteral"> "details_type": 0,</span></div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="stringliteral"> "quantized_dimension": 0</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="stringliteral"> "is_variable": false</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="stringliteral"> "inputs": [</span></div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="stringliteral"> 0,</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="stringliteral"> 1,</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="stringliteral"> 4</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="stringliteral"> "outputs": [</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="stringliteral"> 2</span></div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="stringliteral"> "operators": [</span></div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="stringliteral"> "opcode_index": 0,</span></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> <span class="stringliteral"> "inputs": [</span></div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> <span class="stringliteral"> 0,</span></div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="stringliteral"> 1</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> <span class="stringliteral"> "outputs": [</span></div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="stringliteral"> 3</span></div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <span class="stringliteral"> "builtin_options_type": "AddOptions",</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="stringliteral"> "builtin_options": {</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="stringliteral"> "opcode_index": 1,</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="stringliteral"> "inputs": [</span></div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="stringliteral"> 3,</span></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="stringliteral"> 4</span></div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="stringliteral"> "outputs": [</span></div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="stringliteral"> 2</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="stringliteral"> "builtin_options_type": "SubOptions",</span></div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="stringliteral"> "builtin_options": {</span></div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="stringliteral"> "fused_activation_function": "NONE"</span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="stringliteral"> "custom_options_format": "FLEXBUFFERS"</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="stringliteral"> "name": "main"</span></div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="stringliteral"> ],</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="stringliteral"> "buffers": [</span></div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="stringliteral"> },</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="stringliteral"> {</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="stringliteral"> ]</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="stringliteral"> )";</span></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="stringliteral"> Setup();</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="stringliteral"> }</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="stringliteral">};</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="stringliteral"></span></div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="stringliteral"></span><span class="keyword">struct </span>LoadScopeDynamicTensorBroadcasting3DFixture : LoadScopeDynamicTensorBroadcastingFixture</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> {</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  LoadScopeDynamicTensorBroadcasting3DFixture() : LoadScopeDynamicTensorBroadcastingFixture(<span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="stringliteral">"[ 2, 3, 2 ]"</span>,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="stringliteral">"[ 2, 3, 2 ]"</span>,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>, <span class="stringliteral">"[]"</span>) {}</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span> };</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="keyword">struct </span>LoadScopeDynamicTensorBroadcasting2DFixture : LoadScopeDynamicTensorBroadcastingFixture</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> {</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  LoadScopeDynamicTensorBroadcasting2DFixture() : LoadScopeDynamicTensorBroadcastingFixture(<span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="stringliteral">"[ 3, 2 ]"</span>,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="stringliteral">"[ 3, 2 ]"</span>,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="stringliteral">"[]"</span>, <span class="stringliteral">"[]"</span>) {}</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> };</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="keyword">struct </span>LoadScopeDynamicTensorBroadcasting1DFixture : LoadScopeDynamicTensorBroadcastingFixture</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> {</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  LoadScopeDynamicTensorBroadcasting1DFixture() : LoadScopeDynamicTensorBroadcastingFixture(<span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="stringliteral">"[ 1 ]"</span>,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="stringliteral">"[ 1 ]"</span>,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="stringliteral">"[]"</span>,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="stringliteral">"[ 1, 2, 3, 2 ]"</span>) {}</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> };</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensorBroadcasting3DFixture, <span class="stringliteral">"LoadScopeDynamicTensorBroadcasting3D"</span>)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  0,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  { {<span class="stringliteral">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }},</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {<span class="stringliteral">"input1"</span>, { 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 13.f, 14.f }},</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {<span class="stringliteral">"input2"</span>, { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f }}</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  },</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  { {<span class="stringliteral">"output"</span>, { 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 13.f }} },</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> }</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensorBroadcasting2DFixture, <span class="stringliteral">"LoadScopeDynamicTensorBroadcasting2D"</span>)</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  0,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  { {<span class="stringliteral">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }},</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {<span class="stringliteral">"input1"</span>, { 3.f, 4.f, 5.f, 6.f, 7.f, 8.f }},</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {<span class="stringliteral">"input2"</span>, { -1.f, -2.f, 3.f, 4.f, 5.f, 6.f }}</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  },</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  { {<span class="stringliteral">"output"</span>, { 4.f, 7.f, 4.f, 5.f, 6.f, 7.f, 10.f, 13.f, 10.f, 11.f, 12.f, 13.f }} },</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <a class="code" href="_mem_copy_tests_8cpp.xhtml#a3df1acc0ccc35bce0bd6c027e23e2c45">TEST_CASE_FIXTURE</a>(LoadScopeDynamicTensorBroadcasting1DFixture, <span class="stringliteral">"LoadScopeDynamicTensorBroadcasting1D"</span>)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> {</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  RunTest<4, armnn::DataType::Float32, armnn::DataType::Float32>(</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  0,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  { {<span class="stringliteral">"input0"</span>, { 0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f }},</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {<span class="stringliteral">"input1"</span>, { 5.f }},</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {<span class="stringliteral">"input2"</span>, { 1.f }}</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  },</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  { {<span class="stringliteral">"output"</span>, { 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f, 12.f, 13.f, 14.f, 15.f }} },</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> }</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> }</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#l00035">ParserFlatbuffersFixture.hpp:35</a></div></div> +<div class="ttc" id="armnn_onnx_parser_2test_2_load_scope_dynamic_tensor_8cpp_xhtml_af0862fef9a0fff84a9f2f43c8a942780"><div class="ttname"><a href="armnn_onnx_parser_2test_2_load_scope_dynamic_tensor_8cpp.xhtml#af0862fef9a0fff84a9f2f43c8a942780">TEST_SUITE</a></div><div class="ttdeci">TEST_SUITE("OnnxParser_LoadScopeDynamicTensor")</div><div class="ttdef"><b>Definition:</b> <a href="armnn_onnx_parser_2test_2_load_scope_dynamic_tensor_8cpp_source.xhtml#l00009">LoadScopeDynamicTensor.cpp:9</a></div></div> +<div class="ttc" id="_i_tf_lite_parser_8hpp_xhtml"><div class="ttname"><a href="_i_tf_lite_parser_8hpp.xhtml">ITfLiteParser.hpp</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="_parser_flatbuffers_fixture_8hpp_xhtml"><div class="ttname"><a href="_parser_flatbuffers_fixture_8hpp.xhtml">ParserFlatbuffersFixture.hpp</a></div></div> +<div class="ttc" id="struct_parser_flatbuffers_fixture_xhtml_a30fe33b872259560a868fc9b94195ec0"><div class="ttname"><a href="struct_parser_flatbuffers_fixture.xhtml#a30fe33b872259560a868fc9b94195ec0">ParserFlatbuffersFixture::Setup</a></div><div class="ttdeci">void Setup(bool testDynamic=true)</div><div class="ttdef"><b>Definition:</b> <a href="_parser_flatbuffers_fixture_8hpp_source.xhtml#l00063">ParserFlatbuffersFixture.hpp:63</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="armnn_tf_lite_parser_2test_2_load_scope_dynamic_tensor_8cpp.xhtml">LoadScopeDynamicTensor.cpp</a></li> + <li class="footer">Generated on Fri Jun 17 2022 13:19:43 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> |